store = Store()
game = Game()
# Starting 1 Self-play Game
step = 1
draw = False
while game.check_game_over() == 0:
clone = game.clone()
# Player 1
if step % 2 != 0:
predicted_action, temp_children, temp_moves = tree_search_1.search(
game.clone())
temp_policy = get_tree_policy(temp_children, temp_moves)
store.update_store([game.clone().state, temp_policy, 0],
player1=True)
game.play_action(predicted_action)
print('P1 Non Chain -> ', end='\t')
print(predicted_action)
if clone.if_attack_move(predicted_action):
while game.attack_move_available(
game.remove_except_current(predicted_action)):
predicted_action, temp_children, temp_moves = tree_search_1.search(
game.clone(),
chain_move=True,
action=predicted_action)
temp_policy = get_tree_policy(temp_children,
temp_moves)
store.update_store(
[game.clone().state, temp_policy, 0], player1=True)
game.play_action(predicted_action)
print('P1 Chain -> ', end='\t')
net = Residual()
net.load_model('models/model11')
tree_search_1 = MCTS(net, Node())
human = Human()
game = Game()
print('Game has started !')
print_board(game.state)
step = 1
while game.check_game_over() == 0:
clone = game.clone()
# Player 1
if step % 2 != 0:
predicted_action, temp_children, temp_moves = tree_search_1.search(
game.clone())
game.play_action(predicted_action)
print('Computer moved:', end='\t')
print('(' + str(predicted_action[0]) + ',' +
str(predicted_action[1]) + ') -> (' +
str(predicted_action[2]) + ',' + str(predicted_action[3]) +
')')
if clone.if_attack_move(predicted_action):
while game.attack_move_available(
game.remove_except_current(predicted_action)):
predicted_action, temp_children, temp_moves = tree_search_1.search(
game.clone(), chain_move=True, action=predicted_action)
game.play_action(predicted_action)
print('Computer moved:', end='\t')
print('(' + str(predicted_action[0]) + ',' +
str(predicted_action[1]) + ') -> (' +
str(predicted_action[2]) + ',' +