| tags: | |
| - ml-agents | |
| - ML-Agents-SnowballTarget | |
| - reinforcement-learning | |
| - unity-ml-agents | |
| library_name: ml-agents | |
| model-index: | |
| - name: ppo-SnowballTarget | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: ML-Agents-SnowballTarget | |
| type: ML-Agents-SnowballTarget | |
| metrics: | |
| - type: mean_reward | |
| value: 20.0 +/- 2.0 | |
| name: mean_reward | |
| verified: false | |
| # **PPO** Agent playing **ML-Agents-SnowballTarget** | |
| This is a trained model of a **PPO** agent playing **ML-Agents-SnowballTarget** using Unity ML-Agents for Unit 5 of the Hugging Face Deep RL Course. | |
| ## Evaluation Results | |
| - **Mean Reward**: 20.0 +/- 2.0 | |
| - **Score (Mean - Std)**: 18.0 (Requirement: >= -100.0) | |
| ## Usage | |
| This ONNX model can be used inside Unity or with ML-Agents inference. | |