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envs/test.py

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def train_PPO():
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LOG_DIR = "./logs/"
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env = gym.make('simpleBiped-v0', render=True)
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model = PPO("MlpPolicy", env, verbose=1, device="auto", tensorboard_log=LOG_DIR)
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env = gym.make('simpleBiped-v0', render=False)
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model = PPO("MlpPolicy", env, verbose=1, learning_rate=0.001, device="auto", tensorboard_log=LOG_DIR)
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model.learn(total_timesteps=500000)
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model.save("../models/humanoid_ppo")
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env.close()
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