Reinforcement Learning
ml-agents
TensorBoard
ONNX
SnowballTarget
deep-reinforcement-learning
ML-Agents-SnowballTarget
Instructions to use hmatzner/ppo-SnowballTarget with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- ml-agents
How to use hmatzner/ppo-SnowballTarget with ml-agents:
mlagents-load-from-hf --repo-id="hmatzner/ppo-SnowballTarget" --local-dir="./download: string[]s"
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 19bd1617dd705e0d67a0719ccfaefa21220c75d20617c139ede8fa858420e0b3
- Size of remote file:
- 3.84 MB
- SHA256:
- dfc26f67222cf2ec807da340e45e7c5a7cf030e75d99f92268cc2fba09cfe336
·
Xet efficiently stores Large Files inside Git, intelligently splitting files into unique chunks and accelerating uploads and downloads. More info.