Reinforcement Learning
ml-agents
TensorBoard
ONNX
unity-ml-agents
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use SatCat/ppo-PyramidsTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use SatCat/ppo-PyramidsTraining with ml-agents:
mlagents-load-from-hf --repo-id="SatCat/ppo-PyramidsTraining" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download Pyramids/Pyramids-999893.pt from SatCat/ppo-PyramidsTraining: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/SatCat/ppo-PyramidsTraining/resolve/main/Pyramids/Pyramids-999893.pt
- Command line
-
hf download hf://SatCat/ppo-PyramidsTraining/Pyramids/Pyramids-999893.pt
-
curl -L -o Pyramids-999893.pt https://huggingface.co/SatCat/ppo-PyramidsTraining/resolve/main/Pyramids/Pyramids-999893.pt
8.65 MB
- Xet hash:
- ed432df90c3e3dcf721d7238928c35c69da627b5c4ed17ed582bd64f5127427c
- Size of remote file:
- 8.65 MB
- SHA256:
- 3f3cf874dab8866958e11b3bcde720860e02da53b5e65eedc55ae2d2ca734ec1
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.