| library_name: ml-agents | |
| tags: | |
| - ML-Agents-Pyramids | |
| - ppo | |
| - ml-agents | |
| - reinforcement-learning | |
| - deep-rl-course | |
| model-index: | |
| - name: ppo-Pyramids | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: ML-Agents-Pyramids | |
| type: ML-Agents-Pyramids | |
| metrics: | |
| - type: mean_reward | |
| value: "1.85 +/- 0.15" | |
| name: mean_reward | |
| # ppo-Pyramids | |
| This is a trained model of a **PPO** agent playing **ML-Agents-Pyramids**. | |
| This model was trained as part of the **Hugging Face Deep Reinforcement Learning Course**. | |
| ## Evaluation Results | |
| - **Environment**: `ML-Agents-Pyramids` | |
| - **Algorithm**: `PPO` | |
| - **Library**: `ml-agents` | |
| - **Mean Reward**: `1.85 +/- 0.15` | |
| ## Usage | |
| To evaluate this model locally or play with it, download the model files from this repository. | |