Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use monti-python/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use monti-python/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="monti-python/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 7f68cdf7226f587fe57179504dc179bf0e1d93f000c1513f21d67baccb3ec7c7
- Size of remote file:
- 3.85 MB
- SHA256:
- 865b29083ee752d91baf3ef98599181ae7a0ba864b4ef5c0c9effefb56abc10f
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.