def envir(pos, X_0):
reward = 0
valid = ttt.play(pos, X_0)
if valid: ttt.ai_play('0')
return (reward, valid)
def tourney(output,games = 50,depth = 0):
tourney_results = {'wins' : 0, 'ties' : 0, 'losses' : 0}
for _ in range(games):
results = ttt.play(nn_ai(output),alpha_beta(depth))
if results.winner == 1:
tourney_results['wins'] +=1
if results.winner == 0:
tourney_results['ties'] +=1
if results.winner == -1:
tourney_results['losses'] +=1
results = ttt.play(alpha_beta(depth),nn_ai(output))
if results.winner == -1:
tourney_results['wins'] +=1
if results.winner == 0:
tourney_results['ties'] +=1
if results.winner == 1:
tourney_results['losses'] +=1
return tourney_results
def get(self):
parser = reqparse.RequestParser()
parser.add_argument("board", type=str, required=True, location="args")
args = parser.parse_args()
board_state = args["board"]
if is_safe_to_play(board_state):
board = create_board(board_state)
return play(board)
else:
raise BadRequest()
def envir(pos, X_0):
valid = ttt.play(pos, X_0)
return (0, valid)
epoch_objective_list = []
#gonna have it play against random.
#might make it play against itself
for epoch in range(train_duration):
param_values = lasagne.layers.get_all_param_values(value_out)
minimum_data = sum([param_values[i].size for i,_ in enumerate(param_values)])
t1 = time.clock()
for _ in range(training_per_step):
exploration = min(exploration_max ,
exploration*0.99 + 0.01 *(min(exploration_max-exploration_min,objective_total) + exploration_min))
future_discount = future_discount*0.99 + 0.01*(1 - min(1,objective_total))
future_discount = 1
result_X = ttt.play(nn_ai(value_fun,net = 'value',exploration = exploration),alpha_beta(minimax_str))
board_list =get_inputs(result_X.log)
game_length = len(result_X.log)
input_list = [board_list[2*i] for i in range((game_length+1)/2)]
output_list = [board_list[2*i+1] for i in range((game_length+1)/2)]
move_list = [result_X.log[2*i] for i in range((game_length+1)/2)]
# [monte_carlo_mod(-1 * board_list[2*i+1],results,epsilon =
#epsilon,duration = monte_carlo_duration) for i in range((game_length+1)/2)]
#reward_list = [-1*monte_carlo(-1*board_list[2*i+1],epsilon=epsilon,
# duration = monte_carlo_duration) for i in range((game_length+1)/2)]
# reward_list = [ttt.winner(board_list[2*i+1]) for i in range((game_length+1)/2)]
def test_play(self):
response = play(self.board)
self.assertEqual(response, "oxxo o ")
self.assertEqual(len(response), NUM_BOARD_POSITIONS)
from tic_tac_toe import play
print("Welcome to Tic Tac Toe!")
print("Player 1, what is your name?")
p1 = input()
print("Player 2, what is your name?")
p2 = input()
play(0, 0, p1, p2)