def run(self):
"""Runs the game with the registered agents
Raises:
:class:`jason_malmo.exceptions.NoAgentsException`: There are not registered agents in the game.\n
Register an agent before running the game::
game.register('/path/to/file.asl')
game.run()
"""
self._client_pool = MalmoPython.ClientPool()
if not len(self._agents):
raise NoAgentsException
for port in range(10000, 10000 + len(self._agents) + 1):
self._client_pool.add(MalmoPython.ClientInfo('127.0.0.1', port))
self._my_mission = MalmoPython.MissionSpec(self._get_mission_xml(),
True)
for (index, agent) in enumerate(self._agents):
malmoutils.parse_command_line(agent.malmo_agent)
self._safe_start_mission(
agent.malmo_agent, self._my_mission, self._client_pool,
malmoutils.get_default_recording_object(
agent.malmo_agent, "saved_data"), index, '')
self._safe_wait_for_start(
[agent.malmo_agent for agent in self._agents])
threads = []
for agent in self._agents:
thr = threading.Thread(target=self._jason_env.run_agent,
args=(agent, ),
kwargs={})
thr.start()
threads.append(thr)
# TODO while mission is running
while True:
for agent in self._agents:
for (belief, value) in agent.beliefs.items():
if belief[0] == 'tasks':
tasks = []
for task in list(value)[0].args[0]:
tasks.append(task)
self.tasks.handle(agent, tasks)
time.sleep(0.05)
def StartServer(self, names, ip='127.0.0.1'):
"""
Initiates a server given a mission XML and a list of names of the agents
"""
for i, name in enumerate(names):
n = 10000 + i
self.clientPool.add(MalmoPython.ClientInfo(ip, n))
self.agents.append(MultiAgent(name, self.missionXML, i))
malmoutils.parse_command_line(self.agents[0].host)
for a in self.agents:
a.StartMission(self.clientPool)
self.safeWaitForStart(self.agents)
import random
import sys
import time
import json
import random
import errno
import math
import malmoutils
import numpy as np
import agentMC
malmoutils.fix_print()
agent_host = MalmoPython.AgentHost()
malmoutils.parse_command_line(agent_host)
recordingsDirectory = malmoutils.get_recordings_directory(agent_host)
video_requirements = '<VideoProducer><Width>860</Width><Height>480</Height></VideoProducer>' if agent_host.receivedArgument(
"record_video") else ''
# Task parameters:
MAX_DISTANCE = 40
MAX_ZOMBIES = 16
####### SPEED OF GAME #######
SPEED = 8
ARENA_WIDTH = MAX_DISTANCE
ARENA_BREADTH = MAX_DISTANCE
def getCorner(index, top, left, expand=0, y=0):
''' Return part of the XML string that defines the requested corner'''
def run(argv=['']):
if "MALMO_XSD_PATH" not in os.environ:
print("Please set the MALMO_XSD_PATH environment variable.")
return
malmoutils.fix_print()
agent_host = MalmoPython.AgentHost()
malmoutils.parse_command_line(agent_host, argv)
my_mission = MalmoPython.MissionSpec()
my_mission.timeLimitInSeconds( 10 )
my_mission.requestVideo( 320, 240 )
my_mission.rewardForReachingPosition( 19.5, 0.0, 19.5, 100.0, 1.1 )
my_mission_record = malmoutils.get_default_recording_object(agent_host, "saved_data")
# client_info = MalmoPython.ClientInfo('localhost', 10000)
client_info = MalmoPython.ClientInfo('127.0.0.1', 10000)
pool = MalmoPython.ClientPool()
pool.add(client_info)
experiment_id = str(uuid.uuid1())
print("experiment id " + experiment_id)
max_retries = 3
max_response_time = 60 # seconds
for retry in range(max_retries):
try:
agent_host.startMission(my_mission, pool, my_mission_record, 0, experiment_id)
break
except RuntimeError as e:
if retry == max_retries - 1:
print("Error starting mission:",e)
exit(1)
else:
time.sleep(2)
print("Waiting for the mission to start", end=' ')
start_time = time.time()
world_state = agent_host.getWorldState()
while not world_state.has_mission_begun:
print(".", end="")
time.sleep(0.1)
if time.time() - start_time > max_response_time:
print("Max delay exceeded for mission to begin")
restart_minecraft(world_state, agent_host, client_info, "begin mission")
world_state = agent_host.getWorldState()
for error in world_state.errors:
print("Error:",error.text)
print()
last_delta = time.time()
# main loop:
while world_state.is_mission_running:
agent_host.sendCommand( "move 1" )
agent_host.sendCommand( "turn " + str(random.random()*2-1) )
time.sleep(0.5)
world_state = agent_host.getWorldState()
print("video,observations,rewards received:",world_state.number_of_video_frames_since_last_state,world_state.number_of_observations_since_last_state,world_state.number_of_rewards_since_last_state)
if (world_state.number_of_video_frames_since_last_state > 0 or
world_state.number_of_observations_since_last_state > 0 or
world_state.number_of_rewards_since_last_state > 0):
last_delta = time.time()
else:
if time.time() - last_delta > max_response_time:
print("Max delay exceeded for world state change")
restart_minecraft(world_state, agent_host, client_info, "world state change")
for reward in world_state.rewards:
print("Summed reward:",reward.getValue())
for error in world_state.errors:
print("Error:",error.text)
for frame in world_state.video_frames:
print("Frame:",frame.width,'x',frame.height,':',frame.channels,'channels')
#image = Image.frombytes('RGB', (frame.width, frame.height), bytes(frame.pixels) ) # to convert to a PIL image
print("Mission has stopped.")
def main():
#Hardcode number of agents to play song
num_agents = 4
#Obtain song csv and get solutions
#freq_list = mt.create_note_list("Twinkle_Twinkle_Little_Star.csv",120,7000,-.08) #1 Agent
#freq_list = mt.create_note_list("Chopsticks.csv",120,4000,-.15,.03) #2 Agents
freq_list = mt.create_note_list("Bad_Apple.csv", 120, 3000, -.08,
.03) #2 Agents
#freq_list = mt.create_note_list("Grenade_120BPM.csv",120,1500,-.08,.03) #4 Agents
freq_list = mt.number_converter(freq_list)
solutions = cs.get_solutions(freq_list, num_agents)
print(solutions)
#print(solutions)
#Get Mission. Needed for teleport positions.
missionXML = getMissionXML(num_agents)
#Create musician for each agent and pass teleport positions.
musicians = []
for i in range(num_agents):
agent_positions = generateAgentTeleportPositions(note_positions, i)
musicians.append(Musician(agent_positions))
'''
MALMO
'''
print('Starting...', flush=True)
#Create agents.
agent_hosts = []
for i in range(num_agents):
agent_hosts.append(MalmoPython.AgentHost())
malmoutils.parse_command_line(agent_hosts[0])
#Get mission and allow commands for teleport.
my_mission = MalmoPython.MissionSpec(missionXML, True)
my_mission.allowAllChatCommands()
#Add client for each agent needed.
my_client_pool = MalmoPython.ClientPool()
for i in range(num_agents):
my_client_pool.add(MalmoPython.ClientInfo("127.0.0.1", 10000 + i))
MalmoPython.setLogging("", MalmoPython.LoggingSeverityLevel.LOG_OFF)
#Start mission for each agent
for i in range(num_agents):
startMission(
agent_hosts[i], my_mission, my_client_pool,
malmoutils.get_default_recording_object(
agent_hosts[0], "agent_" + str(i + 1) + "_viewpoint_discrete"),
i, '')
#Wait for all missions to begin.
waitForStart(agent_hosts)
#Pause for simulation to begin.
time.sleep(1)
'''
SIMULATION BEGINS HERE
'''
for i in range(len(solutions[0])):
#teleport each agent to the corresponding note.
for j in range(len(musicians)):
musicians[j].teleport_to_noteblock(agent_hosts[j], solutions[j][i])
# play each note.
for k in range(len(musicians)):
if musicians[k].can_play:
agent_hosts[k].sendCommand("attack 1")
time.sleep(0.001)
for k in range(len(musicians)):
if musicians[k].can_play:
agent_hosts[k].sendCommand("attack 0")
musicians[k].can_play = False
#modifies the timing between each note hit.
time.sleep(0.2)
import MalmoPython import os import random import sys import time import json import copy import errno import xml.etree.ElementTree from collections import deque import malmoutils malmoutils.fix_print() agent_host = MalmoPython.AgentHost() malmoutils.parse_command_line(agent_host) recordingsDirectory = malmoutils.get_recordings_directory(agent_host) # Set up some pallettes: colourful=["stained_glass", "diamond_block", "lapis_block", "gold_block", "redstone_block", "obsidian"] fiery=["stained_glass WHITE", "stained_glass PINK", "stained_glass ORANGE", "stained_glass RED", "wool BLACK", "glowstone"] oresome=["gold_ore", "lapis_ore", "iron_ore", "emerald_ore", "redstone_ore", "quartz_ore"] frilly=["skull", "stained_glass WHITE", "wool PINK", "wool WHITE", "stained_hardened_clay PINK", "stained_hardened_clay WHITE"] icepalace=["ice", "stained_glass", "stained_glass", "stained_glass", "stained_glass", "snow"] volatile=["tnt", "stained_glass", "stained_glass", "redstone_block", "stained_glass", "stained_glass"] oak=["planks", "planks", "planks", "planks", "lapis_block", "lapis_block"] sponge=["sponge", "glass", "sponge", "glass", "sponge", "glass"] palletes = [colourful, fiery, oresome, frilly, icepalace, volatile, oak, sponge] # dimensions of the test structure: SIZE_X = 21
def run(argv=['']):
if "MALMO_XSD_PATH" not in os.environ:
print("Please set the MALMO_XSD_PATH environment variable.")
return
malmoutils.fix_print()
agent_host = MalmoPython.AgentHost()
malmoutils.parse_command_line(agent_host, argv)
my_mission = MalmoPython.MissionSpec()
my_mission.timeLimitInSeconds( 10 )
my_mission.requestVideo( 320, 240 )
my_mission.rewardForReachingPosition( 19.5, 0.0, 19.5, 100.0, 1.1 )
my_mission_record = malmoutils.get_default_recording_object(agent_host, "saved_data")
# client_info = MalmoPython.ClientInfo('localhost', 10000)
client_info = MalmoPython.ClientInfo('127.0.0.1', 10000)
pool = MalmoPython.ClientPool()
pool.add(client_info)
experiment_id = str(uuid.uuid1())
print("experiment id " + experiment_id)
max_retries = 3
max_response_time = 60 # seconds
for retry in range(max_retries):
try:
agent_host.startMission(my_mission, pool, my_mission_record, 0, experiment_id)
break
except RuntimeError as e:
if retry == max_retries - 1:
print("Error starting mission:",e)
exit(1)
else:
time.sleep(2)
print("Waiting for the mission to start", end=' ')
start_time = time.time()
world_state = agent_host.getWorldState()
while not world_state.has_mission_begun:
print(".", end="")
time.sleep(0.1)
if time.time() - start_time > max_response_time:
print("Max delay exceeded for mission to begin")
restart_minecraft(world_state, agent_host, client_info, "begin mission")
world_state = agent_host.getWorldState()
for error in world_state.errors:
print("Error:",error.text)
print()
last_delta = time.time()
# main loop:
while world_state.is_mission_running:
agent_host.sendCommand( "move 1" )
agent_host.sendCommand( "turn " + str(random.random()*2-1) )
time.sleep(0.5)
world_state = agent_host.getWorldState()
print("video,observations,rewards received:",world_state.number_of_video_frames_since_last_state,world_state.number_of_observations_since_last_state,world_state.number_of_rewards_since_last_state)
if (world_state.number_of_video_frames_since_last_state > 0 or
world_state.number_of_observations_since_last_state > 0 or
world_state.number_of_rewards_since_last_state > 0):
last_delta = time.time()
else:
if time.time() - last_delta > max_response_time:
print("Max delay exceeded for world state change")
restart_minecraft(world_state, agent_host, client_info, "world state change")
for reward in world_state.rewards:
print("Summed reward:",reward.getValue())
for error in world_state.errors:
print("Error:",error.text)
for frame in world_state.video_frames:
print("Frame:",frame.width,'x',frame.height,':',frame.channels,'channels')
#image = Image.frombytes('RGB', (frame.width, frame.height), bytes(frame.pixels) ) # to convert to a PIL image
print("Mission has stopped.")
print("Bailing now.")
exit(1)
time.sleep(0.1)
print(".", end=' ')
if time.time() - start_time >= time_out:
print("Timed out while waiting for mission to start - bailing.")
exit(1)
print()
print("Mission has started.")
# -- set up two agent hosts --
agent_host_simeon = MalmoPython.AgentHost()
agent_host_fred = MalmoPython.AgentHost()
# Use simeon's agenthost to hold the command-line options:
malmoutils.parse_command_line(agent_host_simeon)
# -- set up the mission --
xml = '''<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
<Mission xmlns="http://ProjectMalmo.microsoft.com" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<About>
<Summary/>
</About>
<ModSettings>
<MsPerTick>10</MsPerTick> <!-- Because it's pretty boring watching Fred build steps for five minutes... -->
</ModSettings>
<ServerSection>
<ServerInitialConditions>
<Time>
<StartTime>0</StartTime>
</Time>
def main(agent_host):
device = torch.device("cpu")
if VISION_ENABLED:
eyes = Eyes()
if GET_VISION_DATA:
clear_images()
malmoutils.fix_print()
malmoutils.parse_command_line(agent_host)
recordingsDirectory = malmoutils.get_recordings_directory(agent_host)
q_network = QNetwork((2, Hyperparameters.OBS_SIZE, Hyperparameters.OBS_SIZE), len(Hyperparameters.ACTION_DICT))
target_network = QNetwork((2, Hyperparameters.OBS_SIZE, Hyperparameters.OBS_SIZE), len(Hyperparameters.ACTION_DICT))
target_network.load_state_dict(q_network.state_dict())
optim = torch.optim.Adam(q_network.parameters(), lr= Hyperparameters.LEARNING_RATE)
replay_buffer = deque(maxlen=Hyperparameters.REPLAY_BUFFER_SIZE)
global_step = 0
num_episode = 0
epsilon = 1
start_time = time.time()
returns = []
steps = []
loss_array = []
loop = tqdm(total=Hyperparameters.MAX_GLOBAL_STEPS, position=0, leave=False)
result_dataset = []
print("Global Step", Hyperparameters.MAX_GLOBAL_STEPS)
while global_step < Hyperparameters.MAX_GLOBAL_STEPS:
episode_step = 0
episode_return = 0
episode_loss = 0
done = False
#Initialize
agent_host = init_malmo(agent_host,recordingsDirectory, video_width,video_height)
world_state = agent_host.getWorldState()
while not world_state.has_mission_begun:
time.sleep(0.1)
world_state = agent_host.getWorldState()
#for error in world_state.errors:
#print("\nError:",error.text)
obs = get_observation(world_state, agent_host)
#Testing
agent_host.sendCommand( "move 1" )
while world_state.is_mission_running:
#Depth Implementation
while world_state.number_of_video_frames_since_last_state < 1 and world_state.is_mission_running:
time.sleep(0.05)
world_state = agent_host.getWorldState()
if world_state.is_mission_running:
frame = world_state.video_frames[0].pixels
processFrame(frame)
if GET_VISION_DATA:
try:
result_dataset.append(view_surrounding(video_height, video_width, frame, global_step))
except:
print("Error in getting image for training data.")
elif VISION_ENABLED:
input_img_temp = get_img(world_state,frame,agent_host,eyes,device,video_width,video_height)
print("Yaw Delta ", current_yaw_delta_from_depth)
if current_yaw_delta_from_depth > 0:
agent_host.sendCommand(Hyperparameters.ACTION_DICT[1])
else:
agent_host.sendCommand(Hyperparameters.ACTION_DICT[2])
action_idx = get_action(obs, q_network, epsilon)
command = Hyperparameters.ACTION_DICT[action_idx]
agent_host.sendCommand(command)
#agent_host.sendCommand( "turn " + str(current_yaw_delta_from_depth) )
#time.sleep(.3)
episode_step += 1
if episode_step >= Hyperparameters.MAX_EPISODE_STEPS or \
(obs[0, int(Hyperparameters.OBS_SIZE/2)+1, int(Hyperparameters.OBS_SIZE/2)] == -1 and \
command == 'movesouth 1'):
done = True
time.sleep(2)
world_state = agent_host.getWorldState()
for error in world_state.errors:
print("Error:", error.text)
next_obs = get_observation(world_state, agent_host)
reward = 0
for r in world_state.rewards:
reward += r.getValue()
episode_return += reward
replay_buffer.append((obs, action_idx, next_obs, reward, done))
obs = next_obs
global_step += 1
#print(global_step)
if global_step == Hyperparameters.MAX_GLOBAL_STEPS:
break
if global_step > Hyperparameters.START_TRAINING and global_step % Hyperparameters.LEARN_FREQUENCY == 0:
batch = prepare_batch(replay_buffer)
loss = learn(batch, optim, q_network, target_network)
episode_loss += loss
if epsilon > Hyperparameters.MIN_EPSILON:
epsilon *= Hyperparameters.EPSILON_DECAY
if global_step % Hyperparameters.TARGET_UPDATE == 0:
target_network.load_state_dict(q_network.state_dict())
num_episode += 1
returns.append(episode_return)
loss_array.append(episode_loss)
steps.append(global_step)
avg_return = sum(returns[-min(len(returns), 10):]) / min(len(returns), 10)
loop.update(episode_step)
loop.set_description('Episode: {} Steps: {} Time: {:.2f} Loss: {:.2f} Last Return: {:.2f} Avg Return: {:.2f}'.format(
num_episode, global_step, (time.time() - start_time) / 60, episode_loss, episode_return, avg_return))
if num_episode > 0 and num_episode % 10 == 0:
log_returns(steps, loss_array)
#print()
#print(len(result_dataset))
np.save("images/image_labels",np.array(result_dataset))
def run(argv=['']):
if "MALMO_XSD_PATH" not in os.environ:
print("Please set the MALMO_XSD_PATH environment variable.")
return
#forceReset="true"
missionXML = '''<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
<Mission xmlns="http://ProjectMalmo.microsoft.com" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<About>
<Summary>Hello world!</Summary>
</About>
<ServerSection>
<ServerHandlers>
<DefaultWorldGenerator forceReset="true" />
<ServerQuitFromTimeUp timeLimitMs="30000"/>
<ServerQuitWhenAnyAgentFinishes/>
</ServerHandlers>
</ServerSection>
<AgentSection mode="Survival">
<Name>MalmoTutorialBot</Name>
<AgentStart>
<Inventory>
<InventoryItem slot="8" type="diamond_pickaxe"/>
</Inventory>
</AgentStart>
<AgentHandlers>
<ObservationFromFullStats/>
<ObservationFromGrid>
<Grid name="all_the_blocks" >
<min x="-1" y="-1" z="-1"/>
<max x="1" y="2" z="1"/>
</Grid>
</ObservationFromGrid>
<ContinuousMovementCommands turnSpeedDegs="180"/>
</AgentHandlers>
</AgentSection>
</Mission>'''
malmoutils.fix_print()
#agent_host = MalmoPython.AgentHost()
agent_host = MalmoPython.AgentHost()
malmoutils.parse_command_line(agent_host, argv)
my_mission = MalmoPython.MissionSpec(missionXML, True)
my_mission.timeLimitInSeconds(300)
my_mission.requestVideo(640, 480)
#my_mission.rewardForReachingPosition( 19.5, 0.0, 19.5, 100.0, 1.1 )
my_mission_record = malmoutils.get_default_recording_object(
agent_host, "saved_data")
# client_info = MalmoPython.ClientInfo('localhost', 10000)
client_info = MalmoPython.ClientInfo('127.0.0.1', 10000)
pool = MalmoPython.ClientPool()
pool.add(client_info)
experiment_id = str(uuid.uuid1())
print("experiment id " + experiment_id)
max_retries = 3
max_response_time = 60 # seconds
for retry in range(max_retries):
try:
agent_host.startMission(my_mission, pool, my_mission_record, 0,
experiment_id)
break
except RuntimeError as e:
if retry == max_retries - 1:
print("Error starting mission:", e)
exit(1)
else:
time.sleep(2)
print("Waiting for the mission to start", end=' ')
start_time = time.time()
world_state = agent_host.getWorldState()
while not world_state.has_mission_begun:
print(".", end="")
time.sleep(0.1)
if time.time() - start_time > max_response_time:
print("Max delay exceeded for mission to begin")
restart_minecraft(world_state, agent_host, client_info,
"begin mission")
world_state = agent_host.getWorldState()
for error in world_state.errors:
print("Error:", error.text)
print()
last_delta = time.time()
# main loop:
#agent_host.sendCommand( "jump 1")
TURN = 0
TURN2 = 0
JUMP = 0
while world_state.is_mission_running:
print("New Iteration")
if JUMP > 0:
JUMP = JUMP - 1
if JUMP == 0:
agent_host.sendCommand("jump 0")
JUMP = JUMP - 1
agent_host.sendCommand("move 1")
if math.sin(TURN) / 3 >= 0:
agent_host.sendCommand("turn 0.15")
else:
agent_host.sendCommand("turn -0.2")
print(TURN, " ", math.sin(TURN))
TURN = TURN + 0.3
#agent_host.sendCommand( "jump 1" )
time.sleep(0.5)
world_state = agent_host.getWorldState()
y = json.loads(world_state.observations[-1].text)
#print(y["all_the_blocks"])
dir = ""
if y["Yaw"] + 180 < 90:
dir = "S"
print("Facing South")
elif y["Yaw"] < 180:
dir = "W"
print("Facing West")
elif y["Yaw"] < 270:
dir = "N"
print("Facing North")
else:
dir = "E"
print("Facing East")
blocks = [[], [], [], []]
i = 0
for x in y["all_the_blocks"]:
blocks[math.floor(i / 9)].append(x)
i = i + 1
if dir == "S":
willjump = False
for j in range(0, 3):
if blocks[1][j] != "air":
willjump = True
print(j, blocks[1][j], willjump)
if willjump:
JUMP = 2
agent_host.sendCommand("jump 1")
elif dir == "W":
willjump = False
for j in range(0, 3):
if blocks[1][j * 3] != "air":
willjump = True
print(j * 3, blocks[1][j * 3], willjump)
if willjump:
JUMP = 2
agent_host.sendCommand("jump 1")
elif dir == "E":
willjump = False
for j in range(1, 4):
if blocks[1][j * 3 - 1] != "air":
willjump = True
print(j * 3 - 1, blocks[1][j * 3 - 1], willjump)
if willjump:
JUMP = 2
agent_host.sendCommand("jump 1")
elif dir == "N":
willjump = False
for j in range(0, 3):
if blocks[1][j] != "air":
willjump = True
print(j, blocks[1][j + 6], willjump)
if willjump:
JUMP = 2
agent_host.sendCommand("jump 1")
if (blocks[1][2] != "air" and blocks[2][2] != "air"
or blocks[1][4] != "air" and blocks[2][4] != "air"
or blocks[1][2] != "air" and blocks[2][2] != "air"
or blocks[1][4] != "air" and blocks[2][4] != "air"):
TURN2 = 2
if TURN2 >= 0:
agent_host.sendCommand("turn 1")
TURN2 = TURN2 - 1
'''if blocks[1][5] != "air" or blocks[1][5] != "grass" or blocks[1][5] != "tallgrass" :
JUMP = 2
agent_host.sendCommand( "jump 1" )
print()
print(blocks[1][5])'''
#print(len(blocks))
#print(blocks)
if (world_state.number_of_video_frames_since_last_state > 0
or world_state.number_of_observations_since_last_state > 0
or world_state.number_of_rewards_since_last_state > 0):
last_delta = time.time()
else:
if time.time() - last_delta > max_response_time:
print("Max delay exceeded for world state change")
restart_minecraft(world_state, agent_host, client_info,
"world state change")
for reward in world_state.rewards:
print("Summed reward:", reward.getValue())
for error in world_state.errors:
print("Error:", error.text)
for frame in world_state.video_frames:
print()
#print("Frame:",frame.width,'x',frame.height,':',frame.channels,'channels')
#image = Image.frombytes('RGB', (frame.width, frame.height), bytes(frame.pixels) ) # to convert to a PIL image
print("Mission has stopped.")
def run(size, algo1, algo2):
#algorithms = {"reflex": reflex.reflex, "hiddenMarkov": hiddenMarkov.hiddenMarkov, "minimax":minimax.minimax, "expectimax": expectimax.expectimax}
algorithms = {
"reflex": reflex.reflex,
'random': randomagent.randommove,
'smartrandom': smartrandomagent.randommove,
'astarreflex': AStarReflex.search,
"minimax": minimax.minmax
}
#assert len(sys.argv) == 4, "Wrong number of arguments, the form is: mapSize, agent algorithm, enemy alogrithm"
malmoutils.fix_print()
# -- set up two agent hosts --
agent_host1 = MalmoPython.AgentHost()
agent_host2 = MalmoPython.AgentHost()
#map_size = str(sys.argv[1])
map_size = int(size)
map_minus = str(map_size - 1)
agentAlgo = algorithms[algo1]
enemyAlgo = algorithms[algo2]
#agentAlgo = algorithms[sys.argv[2]]
#enemyAlgo = algorithms[sys.argv[3]]
# Use agent_host1 for parsing the command-line options.
# (This is why agent_host1 is passed in to all the subsequent malmoutils calls, even for
# agent 2's setup.)
malmoutils.parse_command_line(agent_host1)
missionXML = '''<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
<Mission xmlns="http://ProjectMalmo.microsoft.com" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<About>
<Summary>Hello world!</Summary>
</About>
<ServerSection>
<ServerInitialConditions>
<Time>
<StartTime>12000</StartTime>
<AllowPassageOfTime>false</AllowPassageOfTime>
</Time>
</ServerInitialConditions>
<ServerHandlers>
<FlatWorldGenerator generatorString="3;7,220*1,5*3,2;3;,biome_1"/>
<DrawingDecorator>
<!-- coordinates for cuboid are inclusive -->
<DrawCuboid x1="0" y1="45" z1="0" x2=''' + '"' + map_minus + '"' + ''' y2="300" z2=''' + '"' + map_minus + '"' + ''' type="air" /> <!-- limits of our arena -->
<DrawCuboid x1="0" y1="40" z1="0" x2=''' + '"' + map_minus + '"' + ''' y2="44" z2=''' + '"' + map_minus + '"' + ''' type="lava" /> <!-- lava floor -->
<DrawCuboid x1="0" y1="46" z1="0" x2=''' + '"' + map_minus + '"' + ''' y2="46" z2=''' + '"' + map_minus + '"' + ''' type="snow" />
</DrawingDecorator>
<ServerQuitFromTimeUp timeLimitMs="30000"/>
</ServerHandlers>
</ServerSection>
<AgentSection mode="Survival">
<Name>Agent</Name>
<AgentStart>
<Inventory>
<InventoryItem slot="0" type="diamond_shovel"/>
</Inventory>
<Placement x="0.5" y="47.0" z="0.5" pitch="50" yaw="0"/>
</AgentStart>
<AgentHandlers>
<ObservationFromFullStats/>
<ObservationFromGrid>
<Grid name="floor3x3W">
<min x="-1" y="0" z="-1"/>
<max x="1" y="0" z="1"/>
</Grid>
<Grid name="floor3x3F">
<min x="-1" y="-1" z="-1"/>
<max x="1" y="-1" z="1"/>
</Grid>
</ObservationFromGrid>
<DiscreteMovementCommands/>
</AgentHandlers>
</AgentSection>
<AgentSection mode="Survival">
<Name>Enemy</Name>
<AgentStart>
<Inventory>
<InventoryItem slot="0" type="diamond_shovel"/>
</Inventory>
<Placement x=''' + '"' + str(
float(map_size) - 0.5) + '"' + ''' y="47.0" z=''' + '"' + str(
float(map_size) - 0.5) + '"' + ''' pitch="50" yaw="180"/>
</AgentStart>
<AgentHandlers>
<ObservationFromFullStats/>
<DiscreteMovementCommands/>
<ObservationFromGrid>
<Grid name="floor3x3W">
<min x="-1" y="0" z="-1"/>
<max x="1" y="0" z="1"/>
</Grid>
<Grid name="floor3x3F">
<min x="-1" y="-1" z="-1"/>
<max x="1" y="-1" z="1"/>
</Grid>
</ObservationFromGrid>
<RewardForTouchingBlockType>
<Block reward="-100.0" type="lava" behaviour="onceOnly"/>
</RewardForTouchingBlockType>
<AgentQuitFromTouchingBlockType>
<Block type="lava" />
</AgentQuitFromTouchingBlockType>
</AgentHandlers>
</AgentSection>
</Mission>'''
# Create default Malmo objects:
my_mission = MalmoPython.MissionSpec(missionXML, True)
client_pool = MalmoPython.ClientPool()
client_pool.add(MalmoPython.ClientInfo('127.0.0.1', 10000))
client_pool.add(MalmoPython.ClientInfo('127.0.0.1', 10001))
MalmoPython.setLogging("", MalmoPython.LoggingSeverityLevel.LOG_OFF)
my_mission_record = MalmoPython.MissionRecordSpec()
def safeStartMission(agent_host, mission, client_pool, recording, role,
experimentId):
used_attempts = 0
max_attempts = 5
print("Calling startMission for role", role)
while True:
try:
agent_host.startMission(mission, client_pool, recording, role,
experimentId)
break
except MalmoPython.MissionException as e:
errorCode = e.details.errorCode
if errorCode == MalmoPython.MissionErrorCode.MISSION_SERVER_WARMING_UP:
print("Server not quite ready yet - waiting...")
time.sleep(2)
elif errorCode == MalmoPython.MissionErrorCode.MISSION_INSUFFICIENT_CLIENTS_AVAILABLE:
print("Not enough available Minecraft instances running.")
used_attempts += 1
if used_attempts < max_attempts:
print("Will wait in case they are starting up.",
max_attempts - used_attempts, "attempts left.")
time.sleep(2)
elif errorCode == MalmoPython.MissionErrorCode.MISSION_SERVER_NOT_FOUND:
print(
"Server not found - has the mission with role 0 been started yet?"
)
used_attempts += 1
if used_attempts < max_attempts:
print("Will wait and retry.",
max_attempts - used_attempts, "attempts left.")
time.sleep(2)
else:
print("Other error:", e.message)
print("Waiting will not help here - bailing immediately.")
exit(1)
if used_attempts == max_attempts:
print("All chances used up - bailing now.")
exit(1)
print("startMission called okay.")
def safeWaitForStart(agent_hosts):
print("Waiting for the mission to start", end=' ')
start_flags = [False for a in agent_hosts]
start_time = time.time()
time_out = 120 # Allow two minutes for mission to start.
while not all(start_flags) and time.time() - start_time < time_out:
states = [a.peekWorldState() for a in agent_hosts]
start_flags = [w.has_mission_begun for w in states]
errors = [e for w in states for e in w.errors]
if len(errors) > 0:
print("Errors waiting for mission start:")
for e in errors:
print(e.text)
print("Bailing now.")
exit(1)
time.sleep(0.1)
print(".", end=' ')
print()
if time.time() - start_time >= time_out:
print("Timed out waiting for mission to begin. Bailing.")
exit(1)
print("Mission has started.")
safeStartMission(agent_host1, my_mission, client_pool, my_mission_record,
0, '')
safeStartMission(agent_host2, my_mission, client_pool, my_mission_record,
1, '')
safeWaitForStart([agent_host1, agent_host2])
def movement(ah, direction, pos):
if direction == "north":
ah.sendCommand("movenorth 1")
position = (pos[0], pos[1] - 1)
elif direction == "south":
ah.sendCommand("movesouth 1")
position = (pos[0], pos[1] + 1)
elif direction == "west":
ah.sendCommand("movewest 1")
position = (pos[0] - 1, pos[1])
elif direction == "east":
ah.sendCommand("moveeast 1")
position = (pos[0] + 1, pos[1])
else:
position = (pos[0], pos[1])
time.sleep(0.1)
return position
def attack(ah, index, pos, map, enemy=False):
#We are going to make it so the agent can only break the blocks immediately around them.
#So a location will be one of the 8 locations around it
#Enemy starts facing north (1), Agent starts facing south (3)
# Enemy: 0 1 0 Agent: 0 3 0
# 4 X 2 2 X 4
# 0 3 0 0 1 0
x, y = math.floor(pos[0]), math.floor(pos[1])
#print("Player position: {},{} Direction: {}".format(x,y, index))
did_Break = False
if enemy:
if index == "north":
# print("Index 1")
ah.sendCommand("attack 1")
time.sleep(0.1)
y -= 1
did_Break = True
if index == "east":
# print("Index 2")
ah.sendCommand("turn 1")
time.sleep(0.1)
ah.sendCommand("attack 1")
time.sleep(0.1)
ah.sendCommand("turn -1")
time.sleep(0.1)
x += 1
did_Break = True
if index == "west":
# print("Index 4")
ah.sendCommand("turn -1")
time.sleep(0.1)
ah.sendCommand("attack 1")
time.sleep(0.1)
ah.sendCommand("turn 1")
time.sleep(0.1)
x -= 1
did_Break = True
if index == "south":
# print("Index 3")
ah.sendCommand("turn 1")
time.sleep(0.1)
ah.sendCommand("turn 1")
time.sleep(0.1)
ah.sendCommand("attack 1")
time.sleep(0.1)
ah.sendCommand("turn -1")
time.sleep(0.1)
ah.sendCommand("turn -1")
time.sleep(0.1)
y += 1
did_Break = True
else:
# Agent: 0 3 0
# 2 X 4
# 0 1 0
if index == "south":
# print("Index 3")
ah.sendCommand("attack 1")
time.sleep(0.1)
y += 1
did_Break = True
if index == "west":
# print("Index 4")
ah.sendCommand("turn 1")
time.sleep(0.1)
ah.sendCommand("attack 1")
time.sleep(0.1)
ah.sendCommand("turn -1")
time.sleep(0.1)
x -= 1
did_Break = True
if index == "east":
# print("Index 2")
ah.sendCommand("turn -1")
time.sleep(0.1)
ah.sendCommand("attack 1")
time.sleep(0.1)
ah.sendCommand("turn 1")
time.sleep(0.1)
x += 1
did_Break = True
if index == "north":
# print("Index 3")
ah.sendCommand("turn 1")
time.sleep(0.1)
ah.sendCommand("turn 1")
time.sleep(0.1)
ah.sendCommand("attack 1")
time.sleep(0.1)
ah.sendCommand("turn -1")
time.sleep(0.1)
ah.sendCommand("turn -1")
time.sleep(0.1)
y -= 1
did_Break = True
if did_Break:
map[x][y] = False
'''
Sample Observation:
{"DistanceTravelled":0,"TimeAlive":50,"MobsKilled":0,"PlayersKilled":0,"DamageTaken":0,"DamageDealt":0,
"Life":20.0,"Score":0,"Food":20,"XP":0,"IsAlive":true,"Air":300,"Name":"Enemy","XPos":5.5,"YPos":47.0,
"ZPos":5.5,"Pitch":50.0,"Yaw":180.0,"WorldTime":12000,"TotalTime":57}
'''
agent_score = 0
#count = 0
agent_ob = None
enemy_ob = None
map = [[True for i in range(0, int(map_size))]
for j in range(0, int(map_size))]
# for i in map:
# print(i)
while True:
#Scores should decrease with time and get a bonus if they win
agent_score -= 1
agent_state = agent_host1.peekWorldState()
enemy_state = agent_host2.peekWorldState()
if agent_state.number_of_observations_since_last_state > 0:
agent_ob = json.loads(agent_state.observations[-1].text)
if enemy_state.number_of_observations_since_last_state > 0:
enemy_ob = json.loads(enemy_state.observations[-1].text)
if agent_ob is None or enemy_ob is None:
continue
if agent_state.is_mission_running == False:
break
agent_position = (agent_ob["XPos"], agent_ob["ZPos"])
enemy_position = (enemy_ob["XPos"], enemy_ob["ZPos"])
agent_grid = agent_ob.get(u'floor3x3F', 0)
enemy_grid = enemy_ob.get(u'floor3x3F', 0)
if "lava" in agent_grid:
print("Enemy Won!")
agent_score -= 100
for i in map:
print(i)
return 0
break
if "lava" in enemy_grid:
print("Agent Won!")
agent_score += 100
for i in map:
print(i)
return 1
break
agentMoveString, agentBreakIndex = agentAlgo(agent_host1,
agent_position,
enemy_position,
agent_grid, map)
enemyMoveString, enemyBreakIndex = enemyAlgo(agent_host2,
enemy_position,
agent_position,
enemy_grid, map)
# #Agent Turn to Break
attack(agent_host1, agentBreakIndex, agent_position, map)
# #Enemy Turn to Move
pos = movement(agent_host2, enemyMoveString, enemy_position)
# #Enemy Turn to Break
attack(agent_host2, enemyBreakIndex, pos, map, enemy=True)
# #Agent Turn to Move
movement(agent_host1, agentMoveString, agent_position)
for i in map:
print(i)
return 2
class ThesisEnvExperiment(gym.Env):
"""
initialize agents and give commandline permissions
"""
metadata = {'render.modes': ['human']}
""" Agent 01: Tom """
agent_host1 = MalmoPython.AgentHost()
malmoutils.parse_command_line(agent_host1)
""" Agent 02: Jerry """
agent_host2 = MalmoPython.AgentHost()
malmoutils.parse_command_line(agent_host2)
""" Agent 03: Skye """
agent_host3 = MalmoPython.AgentHost()
malmoutils.parse_command_line(agent_host3)
"""global variables to remember, if somebody already catched the flag"""
flag_captured_tom = flag_captured_jerry = False
fetched_cell_tom = fetched_cell_jerry = cell_now_tom = cell_now_jerry = 0
time_stamp_start_for_distance = 0
too_close_counter = 0
time_step_tom_won = None
time_step_jerry_won = None
time_step_tom_captured_the_flag = None
time_step_jerry_captured_the_flag = None
winner_agent = "-"
time_step_agents_ran_into_each_other = None
steps_tom = 0
steps_jerry = 0
episode_counter = 0
""" collected data for evaluation """
evaluation_episode_counter = []
evaluation_too_close_counter = []
evaluation_episode_time = []
evaluation_flag_captured_tom = []
evaluation_flag_captured_jerry = []
evaluation_agents_ran_into_each_other = []
evaluation_game_won_timestamp = []
evaluation_winner_agent = []
evaluation_reward_tom = []
evaluation_reward_jerry = []
evaluation_steps_tom = []
evaluation_steps_jerry = []
def __init__(self):
super(ThesisEnvExperiment, self).__init__()
"""
load the mission file
format: XML
"""
mission_file = 'capture_the_flag_xml_mission_DQL.xml'
self.load_mission_file(mission_file)
print("Mission loaded: Capture the Flag")
self.client_pool = [('127.0.0.1', 10000), ('127.0.0.1', 10001),
('127.0.0.1', 10002)]
self.mc_process = None
self.mission_end = False
def init(self,
client_pool=None,
start_minecraft=None,
continuous_discrete=True,
add_noop_command=None,
max_retries=90,
retry_sleep=10,
step_sleep=0.001,
skip_steps=0,
videoResolution=None,
videoWithDepth=None,
observeRecentCommands=None,
observeHotBar=None,
observeFullInventory=None,
observeGrid=None,
observeDistance=None,
observeChat=None,
allowContinuousMovement=None,
allowDiscreteMovement=None,
allowAbsoluteMovement=None,
recordDestination=None,
recordObservations=None,
recordRewards=None,
recordCommands=None,
recordMP4=None,
gameMode=None,
forceWorldReset=None):
self.max_retries = max_retries
self.retry_sleep = retry_sleep
self.step_sleep = step_sleep
self.skip_steps = skip_steps
self.forceWorldReset = forceWorldReset
self.continuous_discrete = continuous_discrete
self.add_noop_command = add_noop_command
self.client_pool = client_pool
if videoResolution:
if videoWithDepth:
self.mission_spec.requestVideoWithDepth(*videoResolution)
else:
self.mission_spec.requestVideo(*videoResolution)
if observeRecentCommands:
self.mission_spec.observeRecentCommands()
if observeHotBar:
self.mission_spec.observeHotBar()
if observeFullInventory:
self.mission_spec.observeFullInventory()
if observeGrid:
self.mission_spec.observeGrid(*(observeGrid + ["grid"]))
if observeDistance:
self.mission_spec.observeDistance(*(observeDistance + ["dist"]))
if observeChat:
self.mission_spec.observeChat()
if allowDiscreteMovement:
# if there are any parameters, remove current command handlers first
self.mission_spec.removeAllCommandHandlers()
if allowDiscreteMovement is True:
self.mission_spec.allowAllDiscreteMovementCommands()
elif isinstance(allowDiscreteMovement, list):
for cmd in allowDiscreteMovement:
self.mission_spec.allowDiscreteMovementCommand(cmd)
if start_minecraft:
# start Minecraft process assigning port dynamically
self.mc_process, port = minecraft_py.start()
logger.info(
"Started Minecraft on port %d, overriding client_pool.", port)
client_pool = [('127.0.0.1', port)]
"""
make client_pool usable for Malmo: change format of the client_pool to struct
"""
if client_pool:
if not isinstance(client_pool, list):
raise ValueError(
"client_pool must be list of tuples of (IP-address, port)")
self.client_pool = MalmoPython.ClientPool()
for client in client_pool:
self.client_pool.add(MalmoPython.ClientInfo(*client))
"""
initialize video parameters for video processing
"""
self.video_height = self.mission_spec.getVideoHeight(0)
self.video_width = self.mission_spec.getVideoWidth(0)
self.video_depth = self.mission_spec.getVideoChannels(0)
self.observation_space = spaces.Box(low=0,
high=255,
shape=(self.video_height,
self.video_width,
self.video_depth))
"""
dummy image just for the first observation
"""
self.last_image1 = np.zeros(
(self.video_height, self.video_width, self.video_depth),
dtype=np.float32)
self.last_image2 = np.zeros(
(self.video_height, self.video_width, self.video_depth),
dtype=np.float32)
self.create_action_space()
"""
mission recording
"""
self.mission_record_spec = MalmoPython.MissionRecordSpec(
) # record nothing
if recordDestination:
self.mission_record_spec.setDestination(recordDestination)
if recordRewards:
self.mission_record_spec.recordRewards()
if recordCommands:
self.mission_record_spec.recordCommands()
if recordMP4:
self.mission_record_spec.recordMP4(*recordMP4)
"""
game mode
"""
if gameMode:
if gameMode == "spectator":
self.mission_spec.setModeToSpectator()
elif gameMode == "creative":
self.mission_spec.setModeToCreative()
elif gameMode == "survival":
logger.warn(
"Cannot force survival mode, assuming it is the default.")
else:
assert False, "Unknown game mode: " + gameMode
def create_action_space(self):
"""
create action_space from action_names to dynamically generate the needed movement
format: Discrete
possible actions: "move", "jumpmove", "strafe", "jumpstrafe", "turn", "jumpnorth", "jumpsouth", "jumpwest",
"jumpeast","look", "use", "jumpuse", "sleep", "movenorth", "movesouth", "moveeast",
"movewest", "jump", "attack"
unused_actions: not wanted actions
discrete_actions: wanted actions
"""
# collect different actions based on allowed commands
unused_actions = []
discrete_actions = []
chs = self.mission_spec.getListOfCommandHandlers(0)
for ch in chs:
cmds = self.mission_spec.getAllowedCommands(0, ch)
for command in cmds:
logger.debug(ch + ":" + command)
if command in [
"movenorth", "movesouth", "moveeast", "movewest",
"attack", "turn"
]:
discrete_actions.append(command + " 1")
discrete_actions.append(command + " -1")
else:
unused_actions.append(command)
""" turn action lists into action spaces """
self.action_names = []
self.action_spaces = []
if len(discrete_actions) > 0:
self.action_spaces.append(spaces.Discrete(len(discrete_actions)))
self.action_names.append(discrete_actions)
if len(self.action_spaces) == 1:
self.action_space = self.action_spaces[0]
else:
self.action_space = spaces.Tuple(self.action_spaces)
logger.debug(self.action_space)
def load_mission_file(self, mission_file):
"""
load XML mission from folder
"""
logger.info("Loading mission from " + mission_file)
mission_xml = open(mission_file, 'r').read()
self.load_mission_xml(mission_xml)
def load_mission_xml(self, mission_xml):
"""
load mission file into game
"""
self.mission_spec = MalmoPython.MissionSpec(mission_xml, True)
logger.info("Loaded mission: " + self.mission_spec.getSummary())
def clip_action_filter(self, a):
return np.clip(a, self.action_space.low, self.action_space.high)
def dqn_q_values_and_neuronal_net(self, args, action_space, obs_size,
obs_space):
"""
learning process
"""
if isinstance(action_space, spaces.Box):
action_size = action_space.low.size
# Use NAF to apply DQN to continuous action spaces
q_func = q_functions.FCQuadraticStateQFunction(
obs_size,
action_size,
n_hidden_channels=args.n_hidden_channels,
n_hidden_layers=args.n_hidden_layers,
action_space=action_space)
# Use the Ornstein-Uhlenbeck process for exploration
ou_sigma = (action_space.high - action_space.low) * 0.2
explorer = explorers.AdditiveOU(sigma=ou_sigma)
else:
n_actions = action_space.n
# print("n_actions: ", n_actions)
q_func = q_functions.FCStateQFunctionWithDiscreteAction(
obs_size,
n_actions,
n_hidden_channels=args.n_hidden_channels,
n_hidden_layers=args.n_hidden_layers)
# print("q_func ", q_func)
# Use epsilon-greedy for exploration
explorer = explorers.LinearDecayEpsilonGreedy(
args.start_epsilon, args.end_epsilon,
args.final_exploration_steps, action_space.sample)
# print("explorer: ", explorer)
if args.noisy_net_sigma is not None:
links.to_factorized_noisy(q_func, sigma_scale=args.noisy_net_sigma)
# Turn off explorer
explorer = explorers.Greedy()
# print("obs_space.low : ", obs_space.shape)
chainerrl.misc.draw_computational_graph(
[q_func(np.zeros_like(obs_space.low, dtype=np.float32)[None])],
os.path.join(args.outdir, 'model'))
opt = optimizers.Adam()
opt.setup(q_func)
rbuf_capacity = 5 * 10**5
if args.minibatch_size is None:
args.minibatch_size = 32
if args.prioritized_replay:
betasteps = (args.steps - args.replay_start_size) \
// args.update_interval
rbuf = replay_buffer.PrioritizedReplayBuffer(rbuf_capacity,
betasteps=betasteps)
else:
rbuf = replay_buffer.ReplayBuffer(rbuf_capacity)
return q_func, opt, rbuf, explorer
def step_generating(self, action, agent_num):
"""
time step in arena
next action is executed
reward of actual state is calculated and summed up with the overall reward
RETURN: image, reward, done, info
"""
reward1 = 0
reward2 = 0
world_state1 = self.agent_host1.peekWorldState()
world_state2 = self.agent_host2.peekWorldState()
if agent_num == 1:
if world_state1.is_mission_running:
""" take action """
self.do_action(action, agent_num)
""" wait for the new state """
world_state1 = self.agent_host1.getWorldState()
else:
if world_state2.is_mission_running:
""" take action """
self.do_action(action, agent_num)
""" wait for the new state """
world_state2 = self.agent_host2.getWorldState()
""" calculate reward of current state """
if agent_num == 1:
for r in world_state1.rewards:
reward1 += r.getValue()
else:
for r in world_state2.rewards:
reward2 += r.getValue()
""" take the last frame from world state | 'done'-flag indicated, if mission is still running """
if agent_num == 1:
image1 = self.get_video_frame(world_state1, 1)
done1 = not world_state1.is_mission_running
else:
image2 = self.get_video_frame(world_state2, 2)
done2 = not world_state1.is_mission_running
"""
collected information during the run
"""
if agent_num == 1:
info1 = {}
info1['has_mission_begun'] = world_state1.has_mission_begun
info1['is_mission_running'] = world_state1.is_mission_running
info1[
'number_of_video_frames_since_last_state'] = world_state1.number_of_video_frames_since_last_state
info1[
'number_of_rewards_since_last_state'] = world_state1.number_of_rewards_since_last_state
info1[
'number_of_observations_since_last_state'] = world_state1.number_of_observations_since_last_state
info1['mission_control_messages'] = [
msg.text for msg in world_state1.mission_control_messages
]
info1['observation'] = self.get_observation(world_state1)
else:
info2 = {}
info2['has_mission_begun'] = world_state2.has_mission_begun
info2['is_mission_running'] = world_state2.is_mission_running
info2[
'number_of_video_frames_since_last_state'] = world_state2.number_of_video_frames_since_last_state
info2[
'number_of_rewards_since_last_state'] = world_state2.number_of_rewards_since_last_state
info2[
'number_of_observations_since_last_state'] = world_state2.number_of_observations_since_last_state
info2['mission_control_messages'] = [
msg.text for msg in world_state2.mission_control_messages
]
info2['observation'] = self.get_observation(world_state2)
if agent_num == 1:
return image1, reward1, done1, info1
else:
return image2, reward2, done2, info2
def reset_world(self, experiment_ID):
"""
reset the arena and start the missions per agent
The sleep-timer of 6sec is required, because the client needs far too much time to set up the mission
for the first time.
All followed missions start faster.
"""
print("force world reset........")
self.flag_captured_tom = False
self.flag_captured_jerry = False
time.sleep(0.1)
print(self.client_pool)
for retry in range(self.max_retries + 1):
try:
""" start missions for every client """
print("\nstarting mission for agent #1")
time.sleep(6)
self.agent_host1.startMission(self.mission_spec,
self.client_pool,
self.mission_record_spec, 0,
experiment_ID)
print("starting mission for agent #2")
time.sleep(6)
self.agent_host2.startMission(self.mission_spec,
self.client_pool,
self.mission_record_spec, 1,
experiment_ID)
print("starting mission for agent #3")
time.sleep(6)
self.agent_host3.startMission(self.mission_spec,
self.client_pool,
self.mission_record_spec, 2,
experiment_ID)
print("\nmissions successfully started.....\n")
break
except RuntimeError as e:
if retry == self.max_retries:
logger.error("Error starting mission: " + str(e))
raise
else:
logger.warn("Error starting mission: " + str(e))
logger.info("Sleeping for %d seconds...", self.retry_sleep)
time.sleep(self.retry_sleep)
logger.info("Waiting for the mission to start.")
world_state1 = self.agent_host1.getWorldState()
world_state2 = self.agent_host2.getWorldState()
while not world_state1.has_mission_begun and world_state2.has_mission_begun:
time.sleep(0.1)
world_state1 = self.agent_host1.getWorldState()
world_state2 = self.agent_host2.getWorldState()
for error in world_state1.errors and world_state2.errors:
logger.warn(error.text)
logger.info("Mission running")
return self.get_video_frame(world_state1,
1), self.get_video_frame(world_state2, 2)
def do_action(self, actions, agent_num):
"""
get next action from action_space
execute action in environment for the agent
"""
if len(self.action_spaces) == 1:
actions = [actions]
#print(actions)
if agent_num == 1:
self.steps_tom += 1
else:
self.steps_jerry += 1
for spc, cmds, acts in zip(self.action_spaces, self.action_names,
actions):
if isinstance(spc, spaces.Discrete):
logger.debug(cmds[acts])
if agent_num == 1:
print("Tom's next action: ", cmds[acts])
self.agent_host1.sendCommand(cmds[acts])
else:
print("Jerry's next action: ", cmds[acts])
self.agent_host2.sendCommand(cmds[acts])
elif isinstance(spc, spaces.Box):
for cmd, val in zip(cmds, acts):
logger.debug(cmd + " " + str(val))
if agent_num == 1:
self.agent_host1.sendCommand(cmd + " " + str(val))
else:
self.agent_host2.sendCommand(cmd + " " + str(val))
elif isinstance(spc, spaces.MultiDiscrete):
for cmd, val in zip(cmds, acts):
logger.debug(cmd + " " + str(val))
if agent_num == 1:
self.agent_host1.sendCommand(cmd + " " + str(val))
else:
self.agent_host2.sendCommand(cmd + " " + str(val))
else:
logger.warn("Unknown action space for %s, ignoring." % cmds)
def get_video_frame(self, world_state, agent_num):
"""
process video frame for called agent
RETURN: image for called agent
"""
if world_state.number_of_video_frames_since_last_state > 0:
assert len(world_state.video_frames) == 1
frame = world_state.video_frames[0]
reshaped = np.zeros(
(self.video_height * self.video_width * self.video_depth),
dtype=np.float32)
image = np.frombuffer(frame.pixels, dtype=np.int8)
# print(reshaped.shape)
for i in range(360000):
reshaped[i] = image[i]
image = np.frombuffer(
frame.pixels,
dtype=np.float32) # 300x400 = 120000 Werte // np.float32
image = reshaped.reshape((frame.height, frame.width,
frame.channels)) # 300x400x3 = 360000
if agent_num == 1:
self.last_image1 = image
else:
self.last_image2 = image
else:
""" if mission ends befor we got a frame, just take the last frame to reduce exceptions """
if agent_num == 1:
image = self.last_image1
else:
image = self.last_image2
return image
def get_observation(self, world_state):
"""
check observations during mission run
RETURN: number of missed observations - if there are any
"""
if world_state.number_of_observations_since_last_state > 0:
missed = world_state.number_of_observations_since_last_state - len(
world_state.observations) - self.skip_steps
if missed > 0:
logger.warn("Agent missed %d observation(s).", missed)
assert len(world_state.observations) == 1
return json.loads(world_state.observations[0].text)
else:
return None
def save_new_round(self, t):
"""
saves the round number in results.txt
"""
datei = open('results.txt', 'a')
datei.write("-------------- ROUND %i --------------\n" % (t))
datei.close()
def append_save_file_with_flag(self, time_step, name):
"""
saves the flagholder in results.txt
"""
datei = open('results.txt', 'a')
datei.write("%s captured the flag after %i seconds.\n" %
(name, time_step))
datei.close()
def append_save_file_with_fail(self):
"""
saves the failes in results.txt
"""
datei = open('results.txt', 'a')
datei.write("X the mission failed X.\n")
datei.close()
def append_save_file_with_agents_fail(self):
"""
saves the failes in results.txt
"""
datei = open('results.txt', 'a')
datei.write(
"X the mission failed: the agents ran into each other or got stranded in the field X.\n"
)
datei.close()
def append_save_file_with_finish(self, time_step, name):
"""
saves the winner in results.txt
"""
datei = open('results.txt', 'a')
datei.write("%s won the game after %i seconds.\n" % (name, time_step))
datei.close()
def save_results(self, overall_reward_agent_Tom,
overall_reward_agent_Jerry, time_step):
"""
saves the results in results.txt
"""
datei = open('results.txt', 'a')
datei.write("The agents were %i times very close to each other.\n" %
(self.too_close_counter))
datei.write(
"Reward Tom: %i, Reward Jerry: %i , Time: %f \n\n" %
(overall_reward_agent_Tom, overall_reward_agent_Jerry, time_step))
datei.close()
def get_cell_agents(self):
"""
gets the cell coordinates for the agents to compare with every 20 seconds
"""
world_state1 = self.agent_host1.peekWorldState()
world_state2 = self.agent_host2.peekWorldState()
msg1 = world_state1.observations[-1].text
msg2 = world_state2.observations[-1].text
ob1 = json.loads(msg1)
ob2 = json.loads(msg2)
if "cell" in ob1 and "cell" in ob2:
self.fetched_cell_tom = ob1.get(u'cell', 0)
self.fetched_cell_jerry = ob2.get(u'cell', 0)
print("fetched cell tom: ", self.fetched_cell_tom)
print("fetched cell jerry: ", self.fetched_cell_jerry)
def get_current_cell_agents(self):
"""
gets the cell coordinates for the agents at a state
"""
world_state1 = self.agent_host1.peekWorldState()
world_state2 = self.agent_host2.peekWorldState()
msg1 = world_state1.observations[-1].text
msg2 = world_state2.observations[-1].text
ob1 = json.loads(msg1)
ob2 = json.loads(msg2)
if "cell" in ob1 and "cell" in ob2:
self.cell_now_tom = ob1.get(u'cell', 0)
self.cell_now_jerry = ob2.get(u'cell', 0)
print("current cell tom: ", self.cell_now_tom)
print("current cell jerry: ", self.cell_now_jerry)
def get_position_in_arena(self, world_state, time_step):
"""
get (x,y,z) Positioncoordinates of agent
fetch the cell coordinates every 20 seconds
check with current coordinates -> if they are the same more than 20 seconds, it is nearly safe, that the agents
crashed into each other -> declare mission as failed and end it
RETURN: x,y,z
"""
x = y = z = t = 0
while world_state:
if len(world_state.observations) >= 1:
msg = world_state.observations[-1].text
ob = json.loads(msg)
time_now = time.time()
if time_now - self.time_stamp_start_for_distance > 20:
""" fetch cell every 20 seconds """
self.get_cell_agents()
self.time_stamp_start_for_distance = time.time()
seconds = time_now - self.time_stamp_start_for_distance
# print("seconds: ", int(seconds))
if int(seconds) == 18:
self.get_current_cell_agents()
if self.fetched_cell_tom == self.cell_now_tom and self.fetched_cell_jerry == self.cell_now_jerry:
print("They ran into each other again.")
self.append_save_file_with_agents_fail()
self.mission_end = True
if "XPos" in ob and "ZPos" in ob and "YPos" in ob:
x = ob[u'XPos']
y = ob[u'YPos']
z = ob[u'ZPos']
return x, y, z
else:
if t == 5:
self.append_save_file_with_fail()
self.time_step_agents_ran_into_each_other = time_step
self.mission_end = True
return x, y, z
else:
time.sleep(1)
t += 1
print(t)
def distance(self, time_step):
"""
check if agents are to near to eachother
move apart if so
"""
x1 = y1 = z1 = x2 = y2 = z2 = 0
""" checks, if world_state is read corrctly, if not, trys again"""
while (x1 == y1 == z1 == 0) or (x2 == y2 == z2 == 0):
world_state1 = self.agent_host1.peekWorldState()
world_state2 = self.agent_host2.peekWorldState()
x1, y1, z1 = self.get_position_in_arena(world_state1, time_step)
x2, y2, z2 = self.get_position_in_arena(world_state2, time_step)
print("...")
# print(" \tTom \tJerry \nX: \t %i\t %i \nY: \t %i\t %i \nZ: \t %i\t %i" % (x1, x2, y1, y2, z1, z2))
"""(x2 == x1+2 and z1 == z1+2) or (x2 == x1+1 and z2 == z1+2) or (x2 == x1 and z2 == z1+2) or \
(x2 == x1-1 and z2 == z1+2) or (x2 == x1-2 and z2 == z1+2) or (x1 == x2+2 and z1 == z2-2) or \
(x1 == x2+1 and z1 == z2-2) or (x1 == x2 and z1 == z2-2) or (x1 == x2-1 and z1 == z2-2) or \
(x1 == x2-2 and z1 == z2-2) or """
if (x1 == x2 and z1 == z2) or (x2 == x1 + 1 and z2 == z1 + 1) or (x2 == x1 and z2 == z1 + 1) or \
(x2 == x1 - 1 and z2 == z1 + 1) or (x1 == x2 + 1 and z1 == z2 - 1) or (x1 == x2 and z1 == z2 - 1) or \
(x1 == x2 - 1 and z1 == z2 - 1):
print(
"---------------------------------------------------- stop!! agents too close!"
)
self.too_close_counter += 1
self.agent_host1.sendCommand("movenorth 1")
self.agent_host2.sendCommand("movesouth 1")
"""(x2 == x1 + 2 and z2 == z1 + 1) or (x2 == x1 + 2 and z2 == z1) or (x2 == x1 + 2 and z2 == z1 - 1) or
(x1 == x2-2 and z1 == z2+1) or (x1 == x2-2 and z1 == z2) or
(x1 == x2-2 and z1 == z2-1) or """
if (x2 == x1 + 1 and z2 == z1) or (x1 == x2 - 1 and z1 == z2):
print(
"---------------------------------------------------- stop!! agents too close!"
)
self.too_close_counter += 1
self.agent_host1.sendCommand("movewest 1")
self.agent_host2.sendCommand("moveeast 1")
"""(x2 == x1 - 2 and z2 == z1 + 1) or (x2 == x1 - 2 and z2 == z1) or (x2 == x1 - 2 and z2 == z1 - 1) or
(x1 == x2+2 and z1 == z2+1) or (x1 == x2+2 and z1 == z2) or \
(x1 == x2+2 and z1 == z2-1) or """
if (x2 == x1 - 1 and z2 == z1) or (x1 == x2 + 1 and z1 == z2):
print(
"---------------------------------------------------- stop!! agents too close!"
)
self.too_close_counter += 1
self.agent_host1.sendCommand("moveeast 1")
self.agent_host2.sendCommand("movewest 1")
"""(x2 == x1 + 2 and z1 == z1 - 2) or (x2 == x1 + 1 and z2 == z1 - 2) or (x2 == x1 and z2 == z1 - 2) or \
(x2 == x1 - 1 and z2 == z1 - 2) or (x2 == x1 - 2 and z2 == z1 - 2) or (x1 == x2+2 and z1 == z2+2) or \
(x1 == x2+1 and z1 == z2+2) or (x1 == x2 and z1 == z2+2) or (x1 == x2-1 and z1 == z2+2) or \
(x1 == x2-2 and z1 == z2+2) or """
if (x2 == x1 + 1 and z2 == z1 - 1) or (x2 == x1 and z2 == z1 - 1) or (x2 == x1 - 1 and z2 == z1 - 1) or \
(x1 == x2 + 1 and z1 == z2 + 1) or (x1 == x2 and z1 == z2 + 1) or (x1 == x2 - 1 and z1 == z2 + 1):
print(
"---------------------------------------------------- stop!! agents too close!"
)
self.too_close_counter += 1
self.agent_host1.sendCommand("movesouth 1")
self.agent_host2.sendCommand("movennorth 1")
def check_inventory(self, time_step):
"""
checks, if the agent got the flag in his inventory
"""
world_state1 = 0
world_state2 = 0
x1 = y1 = z1 = x2 = y2 = z2 = 0
while world_state1 == 0 and world_state2 == 0:
world_state1 = self.agent_host1.peekWorldState()
world_state2 = self.agent_host2.peekWorldState()
print("..")
while not len(world_state1.observations) >= 1 and not len(
world_state2.observations) >= 1:
world_state1 = self.agent_host1.peekWorldState()
world_state2 = self.agent_host2.peekWorldState()
print("..")
if json.dumps(world_state1.observations[-1].text) and json.dumps(
world_state2.observations[-1].text):
msg1 = world_state1.observations[-1].text
msg2 = world_state2.observations[-1].text
obs1 = json.loads(msg1)
obs2 = json.loads(msg2)
""" checks, if world_state is read corrctly, if not, trys again"""
while (x1 == y1 == z1 == 0) or (x2 == y2 == z2 == 0):
world_state1 = self.agent_host1.peekWorldState()
world_state2 = self.agent_host2.peekWorldState()
x1, y1, z1 = self.get_position_in_arena(
world_state1, time_step)
x2, y2, z2 = self.get_position_in_arena(
world_state2, time_step)
print("..")
#if u'inventory' in obs1:
self.get_current_cell_agents()
if self.flag_captured_tom and (
12 <= x1 <= 15 and
0 <= z1 <= 4): # "(11,0)" <= self.cell_now_tom < "(14,5)"
"""
if agent reached the target area:
look down, set block, jump on it to reach wanted position and win the game
"""
self.agent_host1.sendCommand("chat I won the game!")
self.append_save_file_with_finish(time_step, "Tom")
self.time_step_tom_won = time_step
self.winner_agent = "Tom"
self.agent_host1.sendCommand("look 1")
time.sleep(0.2)
self.agent_host1.sendCommand("use 1")
time.sleep(0.2)
self.agent_host1.sendCommand("jumpmove 1")
time.sleep(0.2)
self.agent_host1.sendCommand("look -1")
self.mission_end = True
else:
if self.flag_captured_tom:
print("[INFO] Tom holds the flag.")
else:
last_inventory_tom = obs1[u'inventory']
inventory_string_tom = json.dumps(last_inventory_tom)
# print("Toms last inventory: ", inventory_string_tom)
if (inventory_string_tom.find('quartz') != -1):
""" tauscht quartz mit log, sodass quartz zurück gelegt werden kann"""
if (json.dumps(last_inventory_tom[1]).find('quartz') !=
-1):
self.agent_host1.sendCommand(
"swapInventoryItems 0 1")
self.agent_host1.sendCommand(
"chat Wrong flag, I'll put it back!")
self.agent_host1.sendCommand("use")
self.agent_host1.sendCommand("swapInventoryItems 0 1")
if (inventory_string_tom.find('log') != -1):
self.flag_captured_tom = True
self.time_step_tom_captured_the_flag = time_step
self.append_save_file_with_flag(time_step, "Tom")
print(
"----------------------------------------------------------------Tom captured the flag after %i seconds!"
% (time_step))
#if u'inventory' in obs2:
if self.flag_captured_jerry and (0 <= x2 <= 4 and 11 <= z2 <= 15):
"""
if agent reached the target area:
look down, set block, jump on it to reach wanted position and win the game
"""
self.agent_host2.sendCommand("chat I won the game!")
self.append_save_file_with_finish(time_step, "Jerry")
self.time_step_jerry_won = time_step
self.winner_agent = "Jerry"
self.agent_host2.sendCommand("look 1")
time.sleep(0.2)
self.agent_host2.sendCommand("use 1")
time.sleep(0.2)
self.agent_host2.sendCommand("jumpmove 1")
time.sleep(0.2)
self.agent_host2.sendCommand("look -1")
self.mission_end = True
else:
if self.flag_captured_jerry:
print("[INFO] Jerry holds the flag.")
else:
last_inventory_jerry = obs2[u'inventory']
inventory_string_jerry = json.dumps(last_inventory_jerry)
# print("Jerrys last inventory: ", inventory_string_jerry)
if (inventory_string_jerry.find('log') != -1):
""" tauscht quartz mit log, sodass log zurück gelegt werden kann"""
if (json.dumps(last_inventory_jerry[1]).find('log') != -1):
self.agent_host2.sendCommand("swapInventoryItems 0 1")
self.agent_host2.sendCommand(
"chat Wrong flag, I'll put it back!")
self.agent_host2.sendCommand("use")
self.agent_host1.sendCommand("swapInventoryItems 0 1")
if (inventory_string_jerry.find('quartz') != -1):
self.flag_captured_jerry = True
self.time_step_jerry_captured_the_flag = time_step
self.append_save_file_with_flag(time_step, "Jerry")
print(
"----------------------------------------------------------------Jerry captured the flag after %i seconds!"
% (time_step))
def sending_mission_quit_commands(self, overall_reward_agent_Tom,
overall_reward_agent_Jerry, time_step,
obs1, r1, obs2, r2, outdir, t, tom,
jerry, experiment_ID):
self.agent_host1.sendCommand("quit")
self.agent_host2.sendCommand("quit")
self.agent_host3.sendCommand("quit")
dirname = os.path.join(outdir, 'plots')
print("dirname: ", dirname)
""" save and show results of reward calculations """
self.save_results(overall_reward_agent_Tom, overall_reward_agent_Jerry,
time_step)
print("Final Reward Tom: ", overall_reward_agent_Tom)
print("Final Reward Jerry: ", overall_reward_agent_Jerry)
""" end episode, save results """
tom.stop_episode_and_train(obs1, r1, done=True)
jerry.stop_episode_and_train(obs2, r2, done=True)
print("outdir: %s step: %s " % (outdir, t))
print("Tom's statistics: ", tom.get_statistics())
print("Jerry's statistics: ", jerry.get_statistics())
""" save the final model and results """
save_agent(tom, t, outdir, logger, suffix='_finish_01')
save_agent(jerry, t, outdir, logger, suffix='_finish_02')
""" save all the collected data for evaluation graphs """
self.save_data_for_evaluation_plots(t, time_step,
overall_reward_agent_Tom,
overall_reward_agent_Jerry,
dirname)
time.sleep(2)
""" initialisation for the next episode, reset parameters, build new world """
t += 1
self.episode_counter += 1
r1 = r2 = 0
done1 = done2 = self.mission_end = False
overall_reward_agent_Jerry = overall_reward_agent_Tom = 0
self.save_new_round(t)
obs1, obs2 = self.reset_world(experiment_ID)
self.too_close_counter = 0
self.winner_agent = "-"
self.time_step_tom_won = self.time_step_jerry_won = None
self.time_step_tom_captured_the_flag = self.time_step_jerry_captured_the_flag = None
self.time_step_agents_ran_into_each_other = None
self.steps_tom = 0
self.steps_jerry = 0
""" recover """
"""if evaluator1 and evaluator2 is not None:
evaluator1.evaluate_if_necessary(
t=t, episodes=episode_idx + 1)
evaluator2.evaluate_if_necessary(
t=t, episodes=episode_idx + 1)
if (successful_score is not None and
evaluator1.max_score >= successful_score and evaluator2.max_score >= successful_score):
break"""
return t, obs1, obs2, r1, r2, done1, done2, overall_reward_agent_Jerry, overall_reward_agent_Tom
def save_data_for_evaluation_plots(self, t, time_step,
overall_reward_agent_Tom,
overall_reward_agent_Jerry, dirname):
"""
t: number of episode
time_step: duration of the episode
too_close_counter: how often agents came too close
overall_reward_agent_Tom, overall_reward_agent_Jerry: reward of the agents
winner_agent: agent's name who won the episode, if there is no "-"
time_step_tom_won: timestep, Tom won the game, if not: 0
time_step_jerry_won: timestep, Jerry won the game, if not: 0
time_step_tom_captured_the_flag : timestep, Tom captured the flag, if not: 0
time_step_jerry_captured_the_flag : timestep, Jerry captured the flag, if not: 0
time_step_agents_ran_into_each_other: timestep; the agents ran into each other and the mission ends
"""
print("t : ", self.episode_counter)
if self.episode_counter > 0:
""" Episode 0 is skipped, because there just starts the initialisation of the world, they do nothing. """
self.evaluation_agents_ran_into_each_other.append(
self.time_step_agents_ran_into_each_other)
print(self.time_step_agents_ran_into_each_other)
if self.time_step_agents_ran_into_each_other is None:
self.evaluation_episode_counter.append(self.episode_counter)
self.evaluation_episode_time.append(time_step)
self.evaluation_too_close_counter.append(
self.too_close_counter)
self.evaluation_reward_tom.append(overall_reward_agent_Tom)
self.evaluation_reward_jerry.append(overall_reward_agent_Jerry)
self.evaluation_winner_agent.append(self.winner_agent)
if self.winner_agent == "Tom":
self.evaluation_game_won_timestamp.append(
self.time_step_tom_won)
if self.winner_agent == "Jerry":
self.evaluation_game_won_timestamp.append(
self.time_step_jerry_won)
self.evaluation_flag_captured_tom.append(
self.time_step_tom_captured_the_flag)
self.evaluation_flag_captured_jerry.append(
self.time_step_jerry_captured_the_flag)
self.evaluation_steps_tom.append(self.steps_tom)
self.evaluation_steps_jerry.append(self.steps_jerry)
""" evaluate and print the plots """
thesis_evaluation_experiment.evaluate(
t, self.evaluation_episode_counter,
self.evaluation_episode_time,
self.evaluation_too_close_counter, self.evaluation_reward_tom,
self.evaluation_reward_jerry, self.evaluation_winner_agent,
self.evaluation_game_won_timestamp,
self.evaluation_flag_captured_tom,
self.evaluation_flag_captured_jerry,
self.evaluation_agents_ran_into_each_other, dirname,
self.evaluation_steps_tom, self.evaluation_steps_jerry)
import random
import math
import errno
import uuid
from collections import defaultdict, deque
from timeit import default_timer as timer
if __name__ == '__main__':
# -- set up mission agent -- #
agent_host_player = MalmoPython.AgentHost()
client_pool = MalmoPython.ClientPool()
client_pool.add(MalmoPython.ClientInfo('127.0.0.1', 10000))
# Use agent_host_player for parsing the command-line options.
malmoutils.parse_command_line(agent_host_player)
repeats = 1
win_counter = 0
qlearner = Minesweeper_Agent.Qlearner(agent_host_debug)
qlearner.train2(num_simulations=10000000,
grid_size=5,
reward=1,
game_size=5,
num_mines=5)
qmap = qlearner.get_qmap()
for game_counter in range(repeats):
# -- set up the game -- #
# Minesweeper(size, num_mines)
exit(1)
time.sleep(0.1)
print(".", end=' ')
if time.time() - start_time >= time_out:
print("Timed out while waiting for mission to start - bailing.")
exit(1)
print()
print("Mission has started.")
# -- set up two agent hosts --
agent_host_simeon = MalmoPython.AgentHost()
agent_host_fred = MalmoPython.AgentHost()
# Use simeon's agenthost to hold the command-line options:
malmoutils.parse_command_line(agent_host_simeon)
# -- set up the mission --
xml = '''<?xml version="1.0" encoding="UTF-8" standalone="no" ?>
<Mission xmlns="http://ProjectMalmo.microsoft.com" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<About>
<Summary/>
</About>
<ModSettings>
<MsPerTick>10</MsPerTick> <!-- Because it's pretty boring watching Fred build steps for five minutes... -->
</ModSettings>
<ServerSection>
<ServerInitialConditions>
<Time>
<StartTime>0</StartTime>
</Time>
def main():
sight = {'x': (-30, 30), 'z': (-30, 30), 'y': (-1, 1)}
range_x = abs(sight['x'][1] - sight['x'][0]) + 1
range_y = abs(sight['y'][1] - sight['y'][0]) + 1
range_z = abs(sight['z'][1] - sight['z'][0]) + 1
malmoutils.fix_print()
agent_host = MalmoPython.AgentHost()
malmoutils.parse_command_line(agent_host)
recordingsDirectory = malmoutils.get_recordings_directory(agent_host)
recordingsDirectory = "../human_trajectories"
if (not os.path.exists(recordingsDirectory)):
os.mkdir(recordingsDirectory)
logging.basicConfig(level=logging.INFO)
# pdb.set_trace()
logger = logging.getLogger(__name__)
logger.setLevel(logging.DEBUG) # set to INFO if you want fewer messages
video_width = 640
video_height = 480
sys.argv
mission_xml_path = "../custom_xmls/usar.xml"
validate = True
# my_mission = MalmoPython.MissionSpec(missionXML, validate)
my_mission = MalmoPython.MissionSpec(getMissionXML(mission_xml_path),
validate)
# ObservationFromGrid
my_mission.observeGrid(sight['x'][0], sight['y'][0], sight['z'][0],
sight['x'][1], sight['y'][1], sight['z'][1],
'relative_view')
# agent_host.setObservationsPolicy(MalmoPython.ObservationsPolicy.LATEST_OBSERVATION_ONLY)
agent_host.setVideoPolicy(MalmoPython.VideoPolicy.LATEST_FRAME_ONLY)
if agent_host.receivedArgument("test"):
num_reps = 1
else:
num_reps = 30000
my_mission_record = MalmoPython.MissionRecordSpec()
if recordingsDirectory:
my_mission_record.recordRewards()
my_mission_record.recordObservations()
my_mission_record.recordCommands()
# if agent_host.receivedArgument("record_video"): # my_mission_record.recordMP4(24,2000000)
my_mission_record.recordMP4(24, 2000000)
recording_name = datetime.now().strftime("%Y-%m-%d_%I-%M-%S_%p")
for iRepeat in range(1):
my_mission_record.setDestination(
os.path.join(recordingsDirectory, recording_name + ".tgz"))
max_retries = 3
for retry in range(max_retries):
try:
agent_host.startMission(my_mission, my_mission_record)
break
except RuntimeError as e:
if retry == max_retries - 1:
logger.error("Error starting mission: %s" % e)
exit(1)
else:
time.sleep(2)
logger.info('Mission %s', iRepeat)
logger.info("Waiting for the mission to start")
world_state = agent_host.getWorldState()
while not world_state.has_mission_begun:
print(".", end="")
time.sleep(0.1)
world_state = agent_host.getWorldState()
print()
img_counter = 0
# print('observations', world_state.observations)
while world_state.is_mission_running:
world_state = agent_host.getWorldState()
# Observations
# msg = observe(agent_host)
# if msg is not None:
# print('timestamp: ', msg['timestamp'])
# NOTE : Nothing recorded in world state. Uncomment to test it out.
# if world_state.number_of_observations_since_last_state > 0:
# timestamp = world_state.observations[-1].timestamp
# msg = world_state.observations[-1].text
# obs = json.loads(msg)
# print("{'timestamp': timestamp, 'observations': obs}")
# Video Frames
while world_state.number_of_video_frames_since_last_state < 1 and world_state.is_mission_running:
logger.info("Waiting for frames...")
time.sleep(0.05)
world_state = agent_host.getWorldState()
logger.info("Got frame!")
# import ipdb; ipdb.set_trace
# print('observations', world_state.observations)
# world_state.observations
if world_state.is_mission_running:
# timestamp = world_state.observations[-1].timestamp
# msg = world_state.observations[-1].text
# print(timestamp)
# print(msg)
frame = world_state.video_frames[-1]
img = Image.frombytes('RGB', (640, 480), bytes(frame.pixels))
# imageio.imsave("./tmp_imgs/{}.png".format(img_counter), img)
img_counter += 1
logger.info("Mission has stopped.")
time.sleep(1) # let the Mod recover