def main():
FLAGS(sys.argv)
with sc2_env.SC2Env(map_name="CollectMineralShards",
step_mul=step_mul,
visualize=True,
game_steps_per_episode=steps * step_mul) as env:
model = deepq.models.cnn_to_mlp(convs=[(32, 8, 4), (64, 4, 2),
(64, 3, 1)],
hiddens=[256],
dueling=True)
def make_obs_ph(name):
return U.BatchInput((64, 64), name=name)
act_params = {
'make_obs_ph': make_obs_ph,
'q_func': model,
'num_actions': 4,
}
act = deepq_mineral_shards.load("mineral_shards.pkl",
act_params=act_params)
num = 0
while True:
obs = env.reset()
episode_rew = 0
num += 1
done = False
# MODIFIED CODE BELOW
# ------------------------------------------------------------------------------------------------------
# Access an observation for the current state of the game
envobs = env.observation_raw()
# Accessing set of unit objects
units = envobs.units
# Storing the units that belong to the player (use list comprehension lol)
self_units = []
for unit in units:
if unit.owner == 1: # owner is player
self_units.append(unit)
# Accessing the first unit object
own_id = self_units[0].tag
target_id = self_units[1].tag # Unit id
print(own_id, target_id)
# Send a raw action to kill other marine
step_result = env.step(actions=[
sc2_actions.FunctionCall(_SELECT_UNIT,
[_NOT_QUEUED, [own_id], [target_id]])
])
def main():
FLAGS(sys.argv)
with sc2_env.SC2Env(map_name="CollectMineralShards",
step_mul=step_mul,
visualize=True,
game_steps_per_episode=steps * step_mul) as env:
model = deepq.models.cnn_to_mlp(convs=[(32, 8, 4), (64, 4, 2),
(64, 3, 1)],
hiddens=[256],
dueling=True)
def make_obs_ph(name):
return U.BatchInput((64, 64), name=name)
act_params = {
'make_obs_ph': make_obs_ph,
'q_func': model,
'num_actions': 4,
}
act = deepq_mineral_shards.load("mineral_shards.pkl",
act_params=act_params)
while True:
obs = env.reset()
episode_rew = 0
done = False
step_result = env.step(actions=[
sc2_actions.FunctionCall(_SELECT_ARMY, [_SELECT_ALL])
])
while not done:
player_relative = step_result[0].observation["screen"][
_PLAYER_RELATIVE]
obs = player_relative
player_y, player_x = (
player_relative == _PLAYER_FRIENDLY).nonzero()
player = [int(player_x.mean()), int(player_y.mean())]
if (player[0] > 32):
obs = shift(LEFT, player[0] - 32, obs)
elif (player[0] < 32):
obs = shift(RIGHT, 32 - player[0], obs)
if (player[1] > 32):
obs = shift(UP, player[1] - 32, obs)
elif (player[1] < 32):
obs = shift(DOWN, 32 - player[1], obs)
action = act(obs[None])[0]
coord = [player[0], player[1]]
if (action == 0): #UP
if (player[1] >= 16):
coord = [player[0], player[1] - 16]
elif (player[1] > 0):
coord = [player[0], 0]
elif (action == 1): #DOWN
if (player[1] <= 47):
coord = [player[0], player[1] + 16]
elif (player[1] > 47):
coord = [player[0], 63]
elif (action == 2): #LEFT
if (player[0] >= 16):
coord = [player[0] - 16, player[1]]
elif (player[0] < 16):
coord = [0, player[1]]
elif (action == 3): #RIGHT
if (player[0] <= 47):
coord = [player[0] + 16, player[1]]
elif (player[0] > 47):
coord = [63, player[1]]
new_action = [
sc2_actions.FunctionCall(_MOVE_SCREEN,
[_NOT_QUEUED, coord])
]
step_result = env.step(actions=new_action)
rew = step_result[0].reward
done = step_result[0].step_type == environment.StepType.LAST
episode_rew += rew
print("Episode reward", episode_rew)
def main():
FLAGS(sys.argv)
AGENT_INTERFACE_FORMAT = sc2_env.AgentInterfaceFormat(
feature_dimensions=sc2_env.Dimensions(screen=16, minimap=16))
with sc2_env.SC2Env(map_name="CollectMineralShards",
players=[sc2_env.Agent(sc2_env.Race.terran)],
step_mul=step_mul,
visualize=True,
agent_interface_format=AGENT_INTERFACE_FORMAT) as env:
# model = cnn_to_mlp(
# convs=[(32, 8, 4), (64, 4, 2), (64, 3, 1)],
# hiddens=[256],
# dueling=True)
# def make_obs_ph(name):
# return BatchInput((1, 64, 64), name=name)
model = cnn_to_mlp(convs=[(16, 8, 4), (32, 4, 2)],
hiddens=[256],
dueling=True)
def make_obs_ph(name):
return BatchInput((1, 16, 16), name=name)
# Using deepq_x here instead of deepq for agent x
act_params = {
'make_obs_ph': make_obs_ph,
'q_func': model,
'num_actions': 16,
'scope': "deepq_x"
}
# This needs to be the saved model for deepq_x
# You can change the scope to deepq_y for agent y
act = deepq_mineral_shards.load("mineral_shards.pkl",
act_params=act_params)
while True:
obs = env.reset()
episode_rew = 0
done = False
step_result = env.step(actions=[
sc2_actions.FunctionCall(_SELECT_ARMY, [_SELECT_ALL])
])
while not done:
player_relative = step_result[0].observation["feature_screen"][
_PLAYER_RELATIVE]
obs = player_relative
player_y, player_x = (
player_relative == _PLAYER_FRIENDLY).nonzero()
player = [int(player_x.mean()), int(player_y.mean())]
if (player[0] > 32):
obs = shift(LEFT, player[0] - 32, obs)
elif (player[0] < 32):
obs = shift(RIGHT, 32 - player[0], obs)
if (player[1] > 32):
obs = shift(UP, player[1] - 32, obs)
elif (player[1] < 32):
obs = shift(DOWN, 32 - player[1], obs)
action = act(np.expand_dims(obs[None], axis=0))[0]
coord = [player[0], player[1]]
if (action == 0): #UP
if (player[1] >= 16):
coord = [player[0], player[1] - 16]
elif (player[1] > 0):
coord = [player[0], 0]
elif (action == 1): #DOWN
if (player[1] <= 47):
coord = [player[0], player[1] + 16]
elif (player[1] > 47):
coord = [player[0], 63]
elif (action == 2): #LEFT
if (player[0] >= 16):
coord = [player[0] - 16, player[1]]
elif (player[0] < 16):
coord = [0, player[1]]
elif (action == 3): #RIGHT
if (player[0] <= 47):
coord = [player[0] + 16, player[1]]
elif (player[0] > 47):
coord = [63, player[1]]
new_action = [
sc2_actions.FunctionCall(_MOVE_SCREEN,
[_NOT_QUEUED, coord])
]
step_result = env.step(actions=new_action)
rew = step_result[0].reward
done = step_result[0].step_type == environment.StepType.LAST
episode_rew += rew
print("Episode reward", episode_rew)