| | --- |
| | library_name: stable-baselines3 |
| | tags: |
| | - LunarLander-v2 |
| | - deep-reinforcement-learning |
| | - reinforcement-learning |
| | - stable-baselines3 |
| | model-index: |
| | - name: PPO |
| | results: |
| | - metrics: |
| | - type: mean_reward |
| | value: 283.86 +/- 14.11 |
| | name: mean_reward |
| | task: |
| | type: reinforcement-learning |
| | name: reinforcement-learning |
| | dataset: |
| | name: LunarLander-v2 |
| | type: LunarLander-v2 |
| | --- |
| | |
| | # **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 |
| | |
