Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use Hugdir/Pyramids-PPO-RND-Success with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use Hugdir/Pyramids-PPO-RND-Success with ml-agents:
mlagents-load-from-hf --repo-id="Hugdir/Pyramids-PPO-RND-Success" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
Download Pyramids/Pyramids-1567776.pt from Hugdir/Pyramids-PPO-RND-Success: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/Hugdir/Pyramids-PPO-RND-Success/resolve/main/Pyramids/Pyramids-1567776.pt
- Command line
-
hf download hf://Hugdir/Pyramids-PPO-RND-Success/Pyramids/Pyramids-1567776.pt
-
curl -L -o Pyramids-1567776.pt https://huggingface.co/Hugdir/Pyramids-PPO-RND-Success/resolve/main/Pyramids/Pyramids-1567776.pt
8.66 MB
- Xet hash:
- 2ea29bc1f478a8f922714bcf6a7b2e4fbc8fe40193b43558ebb57a33efe760f1
- Size of remote file:
- 8.66 MB
- SHA256:
- c9c507d040444440be57fc280600d53813395025330c66cdab2fa6e73eff2baa
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