Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Eval Results (legacy)
Instructions to use jos0054/ppo-Pyramids with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use jos0054/ppo-Pyramids with ml-agents:
mlagents-load-from-hf --repo-id="jos0054/ppo-Pyramids" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download training-backup/Pyramids/Pyramids-199914.pt from jos0054/ppo-Pyramids: direct link, hf CLI and curl.
- Browser
- Download file 8.66 MB
-
https://huggingface.co/jos0054/ppo-Pyramids/resolve/main/training-backup/Pyramids/Pyramids-199914.pt
- Command line
-
hf download hf://jos0054/ppo-Pyramids/training-backup/Pyramids/Pyramids-199914.pt
-
curl -L -o Pyramids-199914.pt https://huggingface.co/jos0054/ppo-Pyramids/resolve/main/training-backup/Pyramids/Pyramids-199914.pt
8.66 MB
- Xet hash:
- 277a21a7252566ed0ed0e79c2a84ec67f4e9e7f0caf33f618e29f18a379ec100
- Size of remote file:
- 8.66 MB
- SHA256:
- 83328708576bae09860ab27d879addf54ca95e582a94895528b392194e960524
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.