def step(self, actions: List[ActionInt]):
for agent in self.agents:
agent.starting_actual_phase = agent.actual_phase
self.A.append(start_A())
self._pass_actions_to_agents(actions)
self._modify_A()
Globals().time += 1
self._execute_phase()
self.save_motions()
rewards = self.count_rewards()
for agent in self.agents:
agent.remember(densities=self.x[self.t], reward=rewards[agent.index])
self.global_rewards.append(rewards)
self._count_cars_out()
self.remember_memory()
def step(self, actions: List[ActionInt]):
for agent in self.agents:
agent.starting_actual_phase = agent.actual_phase
self.A.append(start_A())
# self.x[0] = [i for i in range(40)] # w envie dodac!
self._pass_actions_to_agents(actions)
self._modify_A()
# self.update_global_memory_lights()
Globals().time += 1
self._execute_phase()
# self.x[self.t] = [i for i in range(40)] # w envie dodac!
self.save_motions()
# rewards = self.count_rewards_negative()
rewards = self.count_rewards()
for agent in self.agents:
agent.remember(densities=self.x[self.t],
reward=rewards[agent.index])
self.global_rewards.append(rewards)
self._count_cars_out()
self.remember_memory()