def recreate_items(self):
for item in self.items:
item.loaded = False
for agent in self.agents:
if agent.get_position() == item.get_position():
x,y = self.move_to_empty_place()
item.set_position(x,y)
if self.main_agent is not None:
if self.main_agent.get_position() == item.get_position():
x,y = self.move_to_empty_place()
item.set_position(x,y)
if self.enemy_agent is not None:
if self.enemy_agent.get_position() == item.get_position():
x,y = self.move_to_empty_place()
item.set_position(x,y)
return
def take_m_observation(self):
tmp_sim = self.copy()
observation = list()
self.main_agent.refresh_visibility(self)
for agent in self.main_agent.visible_agents:
observation.append(agent.position)
for item in self.main_agent.visible_items:
if not item.loaded:
observation.append(item.get_position())
return observation
def do_collaboration(self):
c_reward = 0
for item in self.items:
agents_total_level = 0
for agent in item.agents_load_item:
agents_total_level += agent.level
if agents_total_level >= item.level and item.agents_load_item !=[]:
item.loaded = True
for agent in item.agents_load_item:
self.agents[
agent.index].last_loaded_item_pos = item.get_position(
)
self.agents[agent.index].reset_memory()
#print '2'
item.agents_load_item = list()
c_reward += 1
self.update_the_map()
return
def do_collaboration(self):
c_reward = 0
for item in self.items:
agents_total_level = 0
for agent in item.agents_load_item:
agents_total_level += agent.level
if agents_total_level >= item.level and item.agents_load_item !=[]:
item.loaded = True
c_reward += 1
for agent in item.agents_load_item:
if not agent.intelligent_agent:
agent.last_loaded_item_pos = item.get_position()
agent.reset_memory()
#print '2'
item.agents_load_item = list()
self.update_the_map()
return float(c_reward)