| library_name: stable-baselines3 | |
| tags: | |
| - ALE/SpaceInvaders-v5 | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - stable-baselines3 | |
| model-index: | |
| - name: CNN-PPO | |
| results: | |
| - metrics: | |
| - type: mean_reward | |
| value: 143.50 +/- 73.04 | |
| name: mean_reward | |
| task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: ALE/SpaceInvaders-v5 | |
| type: ALE/SpaceInvaders-v5 | |
| # **CNN-PPO** Agent playing **ALE/SpaceInvaders-v5** | |
| This is a trained model of a **CNN-PPO** agent playing **ALE/SpaceInvaders-v5** using the [stable-baselines3 library](https://github.com/DLR-RM/stable-baselines3). | |
| ## Usage (with Stable-baselines3) | |
| TODO: Add your code | |