def play_with_ai_white(self, ai_agent=ControllerConfig.AI_AGENT):
"""
Returns
-------
dict
Dict of possible action and state
"""
self.state = State()
self.state.initial_state()
self.player_vs_ai_white = True
state_dict = AIElements.get_state_dict(self.state)
possible_action = AIElements.get_possible_action(self.state)
self.possible_action_keys = possible_action.keys()
if ai_agent == 'random':
self.ai_agent = RandomAgent()
elif ai_agent == 'minimaxab':
self.ai_agent = MinimaxABAgent(player_color=0)
elif ai_agent == 'azero':
self.ai_agent = AlphaZeroAgent()
self.old_state_reward = deepcopy(self.state)
return {
"state": state_dict,
"possible_action": possible_action,
"task": "CHANGE_PLAYER"
}
def get_whattodo_view(self):
"""
Give the view the dict that tell the possible action on this turn and the task
that the view should do
:return: dict
"""
params_view_action = {}
self.state.print_board()
if AIElements.is_over(self.state):
params_view_action['task'] = 'END_GAME'
print("test")
return params_view_action
if self.two_players:
params_view_action['task'] = 'CHANGE_PLAYER'
params_view_action['state'] = AIElements.get_state_dict(self.state)
possible_action = AIElements.get_possible_action(self.state)
params_view_action['possible_action'] = possible_action
self.possible_action_keys = possible_action.keys()
if self.player_vs_ai_white:
self.possible_action_keys = AIElements.get_possible_action(
self.state).keys()
params_view_action['task'] = 'AI_MOVE'
ai_key_action, ai_action_params = self.ai_agent.choose_action(
self.state)
previous_state = deepcopy(self.state)
self.receive_input_action_play(ai_key_action, ai_action_params)
if AIElements.is_over(self.state):
params_view_action['end'] = True
params_view_action['task'] = 'END_GAME'
return params_view_action
print("Reward Function is %.2f" % (AIElements.reward_function(
self.old_state_reward, self.state, 1))) #Black
self.old_state_reward = deepcopy(self.state)
state_dict = AIElements.get_state_dict(self.state)
previous_state_dict = AIElements.get_state_dict(previous_state)
possible_action = AIElements.get_possible_action(self.state)
previous_mana = AIElements.get_players_mana(previous_state)
params_view_action['state'] = state_dict
params_view_action["prev_state"] = previous_state_dict
params_view_action["ai_action"] = ai_action_params
params_view_action["prev_mana"] = previous_mana
params_view_action["possible_action"] = possible_action
self.possible_action_keys = possible_action.keys()
return params_view_action
def play_with_two_players_start(self):
"""
Return the initial state
Returns
-------
dict
Dict of possible Action and state
"""
self.state = State()
self.state.initial_state()
self.two_players = True
state_dict = AIElements.get_state_dict(self.state)
possible_action = AIElements.get_possible_action(self.state)
self.possible_action_keys = possible_action.keys()
return {
"state": state_dict,
"possible_action": possible_action,
"task": "CHANGE_PLAYER"
}