| tags: | |
| - unity-ml-agents | |
| - ml-agents | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - ML-Agents-Pyramids | |
| library_name: ml-agents | |
| 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: 1.66 +/- 0.40 | |
| name: mean_reward | |
| # ppo Agent playing Pyramids | |
| This is a trained model of a ppo agent playing Pyramids using the Unity ML-Agents Library (HF Deep RL Course Unit5). | |
| Final training (run-id Pyramids1): Step 990000, Mean Reward 1.662, Std of Reward 0.400 (checkpoint exported at Step 1000160). | |
| ## Usage | |
| Download the .onnx file and use with the ML-Agents Pyramids demo, or watch it play at https://huggingface.co/spaces/unity/ML-Agents-Pyramids | |