def __initialize_agent__(self, msg):
"""Initialize an agent.
Set the agent id, it's allies and enemies, the respective game number
to 0 and it's agents. Log the initalized agent, set a reply_msg as a
simple acknowledgment message and send it to the server.
Args:
msg: A message of comm.REQUEST_INIT_MSG type.
"""
agent_id = msg.agent_id
ally_ids = self.__get_allies__(agent_id)
enemy_ids = self.__get_enemies__(agent_id)
if agent_id in self.agents:
del self.agents[agent_id]
self.game_number[agent_id] = 0
self.agents[agent_id] = self.agent_classes[agent_id](agent_id,
ally_ids,
enemy_ids)
log('Initialized {} #{}'.format(self.agent_teams[agent_id], agent_id))
reply_msg = comm.AckMessage()
self.server.send(reply_msg)
def __set_agent_pm__(self, msg):
"""Set the probability map back to the agents."""
self.ghostId.append(msg.agent_id)
self.probability_map.append(msg.pm)
pacman = self.__get_enemies__(msg.agent_id)
# print("Mapa recebido do agente {}".format(msg.agent_id))
# print(msg.pm)
ident = msg.agent_id
if len(self.probability_map) == len(self.__get_allies__(ident))+1:
width = self.probability_map[0].width
height = self.probability_map[0].height
walls = self.probability_map[0].walls
sumOfValues = 0.0
newPM = Map(width, height, walls)
# Populate new matrix
for x in range(height):
for y in range(width):
for probMap in self.probability_map:
if not probMap._is_wall((x, y)):
newPM[x][y] = log1p(newPM[x][y]) + log1p(probMap[x][y])
if not newPM._is_wall((x, y)):
# print newPM[x][y]
sumOfValues = sumOfValues + newPM[x][y]
# Normalize it
for x in range(height):
for y in range(width):
if not newPM._is_wall((x, y)):
newPM[x][y] = newPM[x][y]/sumOfValues
# print("Novo mapa de probabilidade: ")
# print(newPM)
for agent in self.ghostId:
self.game_states[agent].agent_maps[pacman[0]] = newPM
# print("Mapa de probabilidade do agente {}".format(agent))
# print self.game_states[agent].agent_maps[pacman[0]]
self.ghostId = []
self.probability_map = []
self.server.send(comm.AckMessage())
else:
self.server.send(comm.AckMessage())
def __share_learn__(self, msg):
"""Set the agent new goal.
Args:
msg: A message of type GOAL_MSG
"""
if (self.game_states[msg.agent_id].iteration % 5) == 0:
self.ghostId.append(msg.agent_id)
ps = self.agents[msg.agent_id].learning.previous_state
self.learnTripples.append((msg.agent_id, ps, msg.state,
msg.previous_behavior,
msg.reward))
num = len(self.__get_allies__(msg.agent_id))
if len(self.learnTripples) == num:
for agent in self.ghostId:
for tripple in self.learnTripples:
if agent != tripple[0]:
ps = tripple[1]
state = tripple[2]
pb = tripple[3]
reward = tripple[4]
# print "\nAgent receiving info: {}".format(agent)
# print "Information Recived from agent: {}"
# .format(tripple[0])
# print "Previous State: {}"
# .format(tripple[1].get_position())
# print "State: {}"
# .format(tripple[2].get_position())
# print "Behavior: {}".format(tripple[3])
# print "Reward: {}".format(tripple[4])
self.agents[agent].learning.learnFromOther(state,
ps, pb,
reward)
self.ghostId = []
self.learnTripples = []
self.server.send(comm.AckMessage())
else:
self.server.send(comm.AckMessage())
else:
self.server.send(comm.AckMessage())
def __set_agent_policy__(self, msg):
"""Set an agent policy.
Set the policy for the msg agent id, and sand to the server a simple
acknowledgment message.
Args:
msg: A message of type comm.POLICY_MSG.
"""
self.agents[msg.agent_id].set_policy(msg.policy)
self.server.send(comm.AckMessage())
def __register_agent__(self, msg):
"""Register an agent.
Set the agent classes and team, log the registered agent, set a
reply_msg as a simple acknowledgment message and send it to the server.
Args:
msg: A message of comm.REQUEST_REGISTER_MSG
"""
self.agent_classes[msg.agent_id] = msg.agent_class
self.agent_teams[msg.agent_id] = msg.agent_team
log('Registered {} #{} ({})'.format(msg.agent_team, msg.agent_id,
msg.agent_class.__name__))
reply_msg = comm.AckMessage()
self.server.send(reply_msg)
def __set_mse__(self, msg):
"""..."""
pacman = self.__get_enemies__(msg.agent_id)
pacman_pos = self.realPositions
# print pacman_pos
pMap = self.game_states[msg.agent_id].agent_maps[pacman[0]]
# print pMap
maxValue = 0
maxValueX = 0
maxValueY = 0
width = pMap.width
height = pMap.height
for x in range(height):
for y in range(width):
if not pMap._is_wall((x, y)):
if pMap[x][y] > maxValue:
maxValue = pMap[x][y]
maxValueX = x
maxValueY = y
coord = (maxValueX, maxValueY)
distance = (abs(maxValueX - pacman_pos[0]) + abs(maxValueY - pacman_pos[1])) ** 2
self.numInstancesArray[msg.agent_id-1] += 1
self.instanceErrorsArray[msg.agent_id-1] += distance
# print("Agente: {}".format(msg.agent_id-1))
# print("\nNumero instancia: {}"
# .format(self.numInstancesArray[msg.agent_id-1]))
# print("Posicao pacman: {}".format(pacman_pos))
# print("Posicao estimada: {}".format(coord))
# print("Erro instancia: {}".format(distance))
# print("Erro: {}".format(self.instanceErrorsArray[msg.agent_id-1]))
self.server.send(comm.AckMessage())
def __start_game_for_agent__(self, msg):
"""Start Game for an Agent.
Call __get_allies__ and __get_enemies__, initialize a Game State for
a agent_id from message. Send a acknowledgment message to the server.
Log the Start Game for agent number message.
Args:
msg: A message of type comm.REQUEST_GAME_START_MSG.
"""
ally_ids = self.__get_allies__(msg.agent_id)
enemy_ids = self.__get_enemies__(msg.agent_id)
eater = (self.agent_teams[msg.agent_id] == 'pacman')
if (self.agent_teams[msg.agent_id] != 'pacman'):
self.numInstancesArray.append(0)
self.instanceErrorsArray.append(0)
if msg.agent_id in self.game_states:
del self.game_states[msg.agent_id]
iteration = self.game_number[msg.agent_id]
self.game_states[msg.agent_id] = GameState(width=msg.map_width,
height=msg.map_height,
walls=[],
agent_id=msg.agent_id,
ally_ids=ally_ids,
enemy_ids=enemy_ids,
eater=eater,
iteration=iteration)
reply_msg = comm.AckMessage()
self.server.send(reply_msg)
log('Start game for {} #{}'.format(self.agent_teams[msg.agent_id],
msg.agent_id))
def __set_agent_pm_mse__(self, msg):
"""Set the probability map back to the agents."""
self.ghostId.append(msg.agent_id)
self.probability_map.append(msg.pm)
maxValue = 0
maxValueX = 0
maxValueY = 0
pacman = self.__get_enemies__(msg.agent_id)
# print("Mapa recebido do agente {}".format(msg.agent_id))
# print(msg.pm)
ident = msg.agent_id
if len(self.probability_map) == len(self.__get_allies__(ident)) + 1:
width = self.probability_map[0].width
height = self.probability_map[0].height
walls = self.probability_map[0].walls
sumOfValues = 0.0
newPM = Map(width, height, walls)
# Populate new matrix
for x in range(height):
for y in range(width):
for probMap in self.probability_map:
if not probMap._is_wall((x, y)):
newPM[x][y] = newPM[x][y] + probMap[x][y]
if not newPM._is_wall((x, y)):
sumOfValues = sumOfValues + newPM[x][y]
# Normalize it
for x in range(height):
for y in range(width):
if not newPM._is_wall((x, y)):
newPM[x][y] = newPM[x][y] / sumOfValues
if newPM[x][y] > maxValue:
maxValue = newPM[x][y]
maxValueX = x
maxValueY = y
# print(">>>>>>>>>>>>>>>>>>>>>>>>")
# print("Novo mapa de probabilidade: ")
# print(newPM)
# Get the max value
self.numInstances += 1
pacman_pos = self.realPositions
print("\nPacman Position: {}".format(pacman_pos))
print("Pacman Estimate Position: {}".format(
(maxValueX, maxValueY)))
print("Previous instanceError: {}".format(self.instanceError))
self.instanceError += (abs(maxValueX - pacman_pos[0]) +
abs(maxValueY - pacman_pos[1]))
print("New Instance Error: {}".format(
abs(maxValueX - pacman_pos[0]) +
abs(maxValueY - pacman_pos[1])))
print ">>>>>>>>>>>>>>>>>>>>>>>>"
for agent in self.ghostId:
self.game_states[agent].agent_maps[pacman[0]] = newPM
# print("Mapa de probabilidade do agente {}".format(agent))
# print self.game_states[agent].agent_maps[pacman[0]]
self.ghostId = []
self.probability_map = []
self.server.send(comm.AckMessage())
else:
self.server.send(comm.AckMessage())
