Reinforcement Learning
ml-agents
deep-reinforcement-learning
deep-rl-course
Pyramids
Eval Results (legacy)
Instructions to use dhanushh011/Pyramids-unit5-course with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use dhanushh011/Pyramids-unit5-course with ml-agents:
mlagents-load-from-hf --repo-id="dhanushh011/Pyramids-unit5-course" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
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Download README.md from dhanushh011/Pyramids-unit5-course: direct link, hf CLI and curl.
- Browser
- Download file 430 Bytes
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https://huggingface.co/dhanushh011/Pyramids-unit5-course/resolve/main/README.md
- Command line
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hf download hf://dhanushh011/Pyramids-unit5-course/README.md
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curl -L -o README.md https://huggingface.co/dhanushh011/Pyramids-unit5-course/resolve/main/README.md
430 Bytes
| library_name: ml-agents | |
| tags: | |
| - deep-reinforcement-learning | |
| - reinforcement-learning | |
| - deep-rl-course | |
| - Pyramids | |
| model-index: | |
| - name: Pyramids | |
| results: | |
| - task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: Pyramids | |
| type: Pyramids | |
| metrics: | |
| - type: mean_reward | |
| value: -50.0 +/- 1.00 | |
| name: mean_reward | |
| # Pyramids passing model for Deep RL Course | |