59 lines
1.8 KiB
Python
59 lines
1.8 KiB
Python
from game import Game
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from tqdm import tqdm
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from os import environ
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environ['PYGAME_HIDE_SUPPORT_PROMPT'] = '1'
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if __name__ == '__main__':
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n_episodes = 3000
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figure_file = 'plots/score.png'
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score_history = []
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best_score = 0
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avg_score = 0
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agent_list = []
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game_len = 5000
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game = Game()
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for i in tqdm(range(n_episodes)):
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# TODO: Make game.level.reset_map() so we don't __init__ everything all the time (such a waste)
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if i != 0:
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game.level.__init__(reset=True)
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# TODO: Make game.level.reset_map() so we don't pull out and load the agent every time (There is -definitevly- a better way)
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for player in game.level.player_sprites:
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for player_id, agent in agent_list:
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if player.player_id == player_id:
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player.agent = agent
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agent_list = []
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done = False
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score = 0
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for _ in tqdm(range(game_len)):
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if not game.level.done:
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game.run()
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else:
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break
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for player in game.level.player_sprites:
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agent_list.append((player.player_id, player.agent))
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if i == n_episodes-1 and game.level.enemy_sprites != []:
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for player in game.level.player_sprites:
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for enemy in game.level.enemy_sprites:
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player.stats.exp -= 5
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player.update()
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for player in game.level.player_sprites:
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player.agent.save_models()
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# TODO: Make it so that scores appear here for each player
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# score_history.append(game.level.player.score)
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# print(score)
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# avg_score = np.mean(score_history[-100:])
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# if avg_score > best_score:
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# best_score = avg_score
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# game.level.player.agent.save_models()
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