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Train a RL agent in one line of code!
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| from stable_baselines import PPO2 | |
| # Define and train a model in one line of code ! | |
| trained_model = PPO2('MlpPolicy', 'CartPole-v1').learn(total_timesteps=10000) | |
| # you can then access the gym env using trained_model.get_env() |
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