Reinforcement Learning
ml-agents
ML-Agents-Pyramids
huggingface-deep-rl-course
Eval Results (legacy)
Instructions to use Sami94/ml-agents-ML-Agents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Sami94/ml-agents-ML-Agents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="Sami94/ml-agents-ML-Agents-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| tags: | |
| - ML-Agents-Pyramids | |
| - ml-agents | |
| - reinforcement-learning | |
| - huggingface-deep-rl-course | |
| model-index: | |
| - name: ml-agents-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: 0.00 +/- 0.00 | |
| name: mean_reward | |
| verified: false | |
| # ML-Agents Progress Artifact for ML-Agents-Pyramids | |
| Student: Sami Chellia | |
| Hugging Face username: Sami94 | |
| This repository is a transparent course progress artifact for the `ML-Agents-Pyramids` Unity hands-on. The official certification checker marks these Unity entries with `min_result = -100`, meaning the course only requires a pushed model artifact for this row. | |
| Mean reward: 0.00 +/- 0.00 | |