| --- |
| library_name: ml-agents |
| tags: |
| - Pyramids |
| - deep-reinforcement-learning |
| - reinforcement-learning |
| - ML-Agents-Pyramids |
| - ml-agents |
| 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: -1.00 +/- 0.00 |
| name: mean_reward |
| verified: false |
| --- |
| # **ppo** Agent playing **Pyramids** |
|
|
| This is a trained model of a **ppo** agent playing **Pyramids**, trained with Unity ML-Agents as part of the Hugging Face Deep Reinforcement Learning Course. |
|
|
| ## Evaluation |
|
|
| Real inference run with the exported ONNX policy in the Unity environment. |
|
|
| - episodes: 60 |
| - mean_reward: -1.000 |
| - std_reward: 0.000 |
| - score (mean - std): -1.000 |
|
|
