| library_name: ml-agents | |
| tags: | |
| - ml-agents | |
| - tensorboard | |
| - onnx | |
| - unity-ml-agents | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - ML-Agents-Pyramids | |
| model-index: | |
| - name: MLAgents-Pyramids | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: ML-Agents-Pyramids | |
| type: ML-Agents-Pyramids | |
| metrics: | |
| - type: mean_reward | |
| value: 2.80 +/- 0.30 | |
| name: mean_reward | |
| # **PPO** Agent playing **Pyramids** | |
| This is a trained model of a **PPO** agent playing **Pyramids** using Unity ML-Agents. | |