def act(self, game):
new_robot = self.robot_id in self.robot_ids
self.robot_ids.add(self.robot_id)
self.current_state = State.from_game(game, self.player_id,
robot_loc=self.location)
self.game = game
# Explore function
if random.randint(0, 3) < 1:
print("[Bot " + str(self.robot_id) + "] random action")
# print self.state
action = self.get_random_action()
else:
action = self.qlearning.predict(self.current_state)
self.last_states[self.robot_id] = self.current_state
self.last_action[self.robot_id] = action
return State.map_action(action, self.location)
