Instructions to use sashank160105/ml-agents-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use sashank160105/ml-agents-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="sashank160105/ml-agents-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
|
Download README.md from sashank160105/ml-agents-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 483 Bytes
-
https://huggingface.co/sashank160105/ml-agents-Pyramids/resolve/main/README.md
- Command line
-
hf download hf://sashank160105/ml-agents-Pyramids/README.md
-
curl -L -o README.md https://huggingface.co/sashank160105/ml-agents-Pyramids/resolve/main/README.md
483 Bytes
| tags: | |
| - ML-Agents-Pyramids | |
| - ml-agents | |
| - reinforcement-learning | |
| - unity-ml-agents | |
| model-index: | |
| - name: ml-agents-Pyramids | |
| results: | |
| - metrics: | |
| - type: mean_reward | |
| value: 10.00 +/- 1.00 | |
| name: mean_reward | |
| task: | |
| type: reinforcement-learning | |
| name: reinforcement-learning | |
| dataset: | |
| name: ML-Agents-Pyramids | |
| type: ML-Agents-Pyramids | |
| # ML-Agents Pyramids | |
| This is a trained model of an agent playing Pyramids using Unity ML-Agents. | |