| tags: | |
| - PongNoFrameskip-v4 | |
| - ppo | |
| - reinforcement-learning | |
| - stable-baselines3 | |
| - deep-rl | |
| - atari | |
| model-index: | |
| - name: PPO Pong | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: Pong | |
| dataset: | |
| name: PongNoFrameskip-v4 | |
| type: atari | |
| metrics: | |
| - name: Mean Reward | |
| type: mean_reward | |
| value: 20.40 +/- 0.92 | |
| # **PPO** Agent playing **PongNoFrameskip-v4** | |
| This is a trained model of a **PPO** agent playing **PongNoFrameskip-v4**. | |
| To learn to use this model and train yours, check the Deep Reinforcement Learning Course on [Hugging Face](https://huggingface.co/deep-rl-course). | |