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README.md
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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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# TestSB3/ppo-CartPole-v1
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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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## Usage (with RL-baselines3-zoo)
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Just clone the [rl-baselines3-zoo](https://github.com/DLR-RM/rl-baselines3-zoo) library.
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Then run:
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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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Mean Reward: 500.0 +/- 0.0 (300 test episodes)
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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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@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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```
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