Reinforcement Learning
ml-agents
ML-Agents-Pyramids
deep-rl-course
reinforcement-learning-leaderboard
Eval Results (legacy)
Instructions to use naimgerges/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use naimgerges/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="naimgerges/ppo-Pyramids" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
| library_name: ml-agents | |
| tags: | |
| - ML-Agents-Pyramids | |
| - deep-rl-course | |
| - reinforcement-learning | |
| - reinforcement-learning-leaderboard | |
| 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: 2.0 | |
| name: mean_reward | |
| # ppo-Pyramids | |
| Surgical fix for Unit 5. | |