def game():
counter = 0
depth = 1
q = Quoridor()
while True:
q.print_board()
print(q.valid_actions())
action = input('please input action code:')
action = interpret(action)
q.take_action(action)
end, winner = q.check_end()
if end:
print('Game over, winner is ', winner)
break
q.alter()
counter += 1
if counter > 12:
depth = 2
action = minimax(q, depth)
q.take_action(action)
end, winner = q.check_end()
if end:
print('Game over, winner is ', winner)
break
q.alter()
def test_mcts_player():
from quoridor import Quoridor
from policy_value_net import PolicyValueNet
policy_value_net = PolicyValueNet(model_file=None)
c_puct = 5
n_playout = 400
mcts_player = MCTSPlayer(policy_value_net.policy_value_fn,
c_puct=c_puct,
n_playout=n_playout,
is_selfplay=1)
q = Quoridor()
action = mcts_player.get_action(q)
q.take_action(action)
q.alter()
# print(q.valid_actions())
# try:
action = mcts_player.get_action(q)
# except:
# print(q.valid_actions())
print('take action : ', action)
