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| --- | |
| library_name: stable-baselines3 | |
| tags: | |
| - Walker2DBulletEnv-v0 | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - stable-baselines3 | |
| model-index: | |
| - name: PPO | |
| results: | |
| - metrics: | |
| - type: mean_reward | |
| value: 19.51 +/- 1.95 | |
| name: mean_reward | |
| task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: Walker2DBulletEnv-v0 | |
| type: Walker2DBulletEnv-v0 | |
| --- | |
| # **PPO** Agent playing **Walker2DBulletEnv-v0** | |
| This is a trained model of a **PPO** agent playing **Walker2DBulletEnv-v0** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). | |
| ## Usage (with Stable-baselines3) | |
| TODO: Add your code | |