hidden_layer_topology = [int(raw) for raw in raw_topology.split(";")]
pba = PowerBoardAnn(51, hidden_layer_topology, 4)
pba.read_pickle()
error_rates = pba.do_training(no_of_epochs)
start_time = time.time()
ann_best_tiles = []
random_best_tiles = []
for i in range(50):
pb = PowerBoard((4, 4))
pb.add_random_tile()
while True:
if pb.is_game_over():
pb.print_to_console()
ann_best_tiles.append(max(pb.get_board()))
break
network_output = pba.evaluate_one_board(
convert_list_to_2d(pb.get_board()))
pb.move_and_add_random_tile(directions[network_output])
"""
possible_directions = pb.get_possible_move_directions()
for choice in network_output:
if directions[choice] in possible_directions:
pb.move_and_add_random_tile(directions[choice])
break
"""
for i in range(50):
game_over = False
while True:
"""
for event in pygame.event.get():
if event.type == pygame.QUIT:
sys.exit()
"""
b = time()
if not game_over:
empties = len(pb.get_empty_spaces())
search_state = PowerBoardState(PowerBoardState.get_recursion_depth_roof(empties))
search_state.board = pb.get_board()
decision = search_state.decision()
with open("2048moves.txt", 'a') as log:
log.write("\n\n" + str(pb.get_board()))
log.write("\n" + decision)
pb.move_and_add_random_tile(decision)
c = time()
print(c-b)
if pb.is_game_over():
game_over = True
print('Game over after', c-a)
print('Max tile:', pb.get_max_tile())
break
#gfx.draw()
