Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use brahamdp/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use brahamdp/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="brahamdp/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1d1961ed8c9da4d28aca82877cc00bc34ff7d927292e366784f085f565cf0a62
- Size of remote file:
- 647 kB
- SHA256:
- 65be52a44addb94ae607cbe1abb8cf718b591b68580f0408b13ce825e43afc1a
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.