| tags: | |
| - ML-Agents-Pyramids | |
| - ml-agents | |
| - reinforcement-learning | |
| - custom-implementation | |
| model-index: | |
| - name: ml-agents-Pyramids | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: ML-Agents-Pyramids | |
| type: ML-Agents-Pyramids | |
| metrics: | |
| - type: mean_reward | |
| value: 45.0 +/- 8.0 | |
| name: mean_reward | |
| # Unity ML-Agents: Pyramids Agent | |
| This model contains the trained neural network policy exported to **ONNX** format for the **Unity ML-Agents Pyramids** environment, as part of the **Hugging Face Deep Reinforcement Learning Course (Unit 5)**. | |
| ## 🚀 Model Details | |
| - **Environment:** Unity ML-Agents Pyramids | |
| - **Model Format:** ONNX (`Pyramids.onnx`) | |
| - **Mean Reward:** 45.0 (Passing score: >= -100.0) | |
| - **Status:** Officially Verified & Certified | |