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_2.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], player2=True)
game.play_action(predicted_action)
print('P2 Chain -> ', end='\t')
print(predicted_action)
game.flip_perspective()
step += 1
if step > 120:
break
draw = True
print(game.state, end="\n")
# Saving training data
if not draw:
if step % 2 == 0:
store.update_values(player1=1, player2=-1)
else:
store.update_values(player1=-1, player2=1)
else:
store.update_values(player1=0, player2=0)
store.save_store('store' + str(iteration))
