| --- |
| library_name: stable-baselines3 |
| tags: |
| - LunarLander-v2 |
| - deep-reinforcement-learning |
| - reinforcement-learning |
| - stable-baselines3 |
| model-index: |
| - name: PPO |
| results: |
| - task: |
| type: reinforcement-learning |
| name: reinforcement-learning |
| dataset: |
| name: LunarLander-v2 |
| type: LunarLander-v2 |
| metrics: |
| - type: mean_reward |
| value: 269.62 +/- 12.60 |
| name: mean_reward |
| verified: false |
| --- |
| |
| # **PPO** Agent playing **LunarLander-v2** |
| This is a trained model of a **PPO** agent playing **LunarLander-v2** |
| using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). |
|
|
| ## Usage (with Stable-baselines3) |
| TODO: Add your code |
|
|
|
|
| ```python |
| from stable_baselines3 import ... |
| from huggingface_sb3 import load_from_hub |
| |
| ... |
| ``` |
|
|
