Reinforcement Learning
ml-agents
TensorBoard
ONNX
Pyramids
deep-reinforcement-learning
ML-Agents-Pyramids
Instructions to use EvaOr/DeepRL_chp5_MLAgents_PyramidsTraining with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use EvaOr/DeepRL_chp5_MLAgents_PyramidsTraining with ml-agents:
mlagents-load-from-hf --repo-id="EvaOr/DeepRL_chp5_MLAgents_PyramidsTraining" --local-dir="./downloads"
- Notebooks
- Google Colab
- Kaggle
Download Pyramids/Pyramids-316473.pt from EvaOr/DeepRL_chp5_MLAgents_PyramidsTraining: direct link, hf CLI and curl.
- Browser
- Download file 8.65 MB
-
https://huggingface.co/EvaOr/DeepRL_chp5_MLAgents_PyramidsTraining/resolve/main/Pyramids/Pyramids-316473.pt
- Command line
-
hf download hf://EvaOr/DeepRL_chp5_MLAgents_PyramidsTraining/Pyramids/Pyramids-316473.pt
-
curl -L -o Pyramids-316473.pt https://huggingface.co/EvaOr/DeepRL_chp5_MLAgents_PyramidsTraining/resolve/main/Pyramids/Pyramids-316473.pt
8.65 MB
- Xet hash:
- 8aba8ad38a865ee4bebd0456cd5d2fdf67802dd9f905a1ae420eb0bb20670f92
- Size of remote file:
- 8.65 MB
- SHA256:
- 1bacc733206ec7ae615c1354b99bdd17ff225bd4f540a1019cfbc879263a76ad
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