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+ ---
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+ tags:
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+ - gym
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+ - reinforcement-learning
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+ ---
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+
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+
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+ # TestSB3/ppo-CartPole-v1
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+
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+ This is a trained model of a PPO agent playing CartPole-v1 using the [rl-baselines3-zoo](https://github.com/DLR-RM/rl-baselines3-zoo) library.
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+
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+ ## Usage (with RL-baselines3-zoo)
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+
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+ Just clone the [rl-baselines3-zoo](https://github.com/DLR-RM/rl-baselines3-zoo) library.
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+
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+ Then run:
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+
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+ ```python
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+ python enjoy.py --algo ppo --env CartPole-v1
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+ ```
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+ ## Evaluation Results
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+
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+ Mean Reward: 500.0 +/- 0.0 (300 test episodes)
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+
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+ ## Citing the Project
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+ To cite this repository in publications:
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+
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+ ```
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+ @misc{rl-zoo3,
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+ author = {Raffin, Antonin},
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+ title = {RL Baselines3 Zoo},
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+ year = {2020},
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+ publisher = {GitHub},
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+ journal = {GitHub repository},
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+ howpublished = {\url{https://github.com/DLR-RM/rl-baselines3-zoo}},
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+ }
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+ ```