def play_test(tester_player, trained, num_games):
AI = AIPlayer(2, 3, trained.model_network)
AI.otherPlayer = tester_player
test_players = [tester_player, AI]
test_match = Game(test_players, boardsize)
wins = 0
start = time()
matches = num_games
invalid = 0
for i in range(matches):
result = test_match.play()
if result == 1:
invalid += 1
else:
wins += int(AI.score >= tester_player.score)
test_match.reset()
if matches == 500:
print("invalids: ", invalid)
print("win rate: ", wins / matches)
print("playing time: ", time() - start)
return wins, invalid
from Players.randomPlayer import RandomPlayer from Players.greedyPlayer import GreedyPlayer from Players.humanPlayer import HumanPlayer from Players.AIPlayer import AIPlayer from Game.game import Game HIDDEN = 100 boardsize = 3 #players = [RandomPlayer(1, boardsize), AIPlayer(3, 3, HIDDEN)] players = [RandomPlayer(1, boardsize), GreedyPlayer(3, boardsize)] g = Game(players, boardsize) g.play()
