def act(self, state, ava_actions):
for action in ava_actions:
nstate = after_action_state(state, action)
gstatus = check_game_status(nstate[0])
if gstatus > 0:
if tomark(gstatus) == self.mark:
return action
return random.choice(ava_actions)
def act(self, state, my_env):
available_actions = my_env.available_actions()
for action in available_actions:
nstate = after_action_state(my_env.state, action)
gstatus = check_game_status(nstate[0])
if gstatus > 0:
if tomark(gstatus) == self.mark:
return action
return random.choice(available_actions)
def act(self, state, my_env: TicTacToeEnv):
available_actions = my_env.available_actions()
# --- Step 1: play winning move, if possible ---
for action in available_actions:
nstate = after_action_state(state, action)
gstatus = check_game_status(nstate[0])
if gstatus > 0:
if tomark(gstatus) == self.mark:
return action
# --- Step 2: block opponent from winning ---
# imagine the opponent was playing
rev_state = (state[0], next_mark(state[1]))
for action in available_actions:
nstate = after_action_state(rev_state, action)
gstatus = check_game_status(nstate[0])
if gstatus > 0:
# if they can make a winning move, play that
if tomark(gstatus) == self.opponent_mark:
return action
return random.choice(available_actions)