| library_name: ml-agents | |
| tags: | |
| - reinforcement-learning | |
| - ML-Agents-Pyramids | |
| - ml-agents | |
| - unity-ml-agents | |
| - deep-reinforcement-learning | |
| model-index: | |
| - name: PPO | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: ML-Agents-Pyramids | |
| type: ML-Agents-Pyramids | |
| metrics: | |
| - type: mean_reward | |
| value: 1.85 +/- 0.30 | |
| name: mean_reward | |
| # PPO agent playing ML-Agents-Pyramids | |
| This is a trained model of an **PPO** agent playing **ML-Agents-Pyramids** for the Hugging Face Deep Reinforcement Learning Course (Unit 5 P2). | |
| ## Evaluation Results | |
| - **Mean Reward**: 1.85 +/- 0.30 | |
| - **Environment**: ML-Agents-Pyramids | |
| - **Algorithm**: PPO | |
| - **Library**: ml-agents | |
| ## Usage | |
| Trained and evaluated for the Hugging Face Deep RL Course certification. | |