Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
IceHockeyNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_icehockey_3333 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use edbeeching/atari_2B_atari_icehockey_3333 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_icehockey_3333 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
Commit History
-
Update cfg.json to config.json
ab6d73a
-
Upload replay.mp4 with huggingface_hub
b9da4e7 -
Upload README.md with huggingface_hub
c3d364f -
Upload cfg.json with huggingface_hub
48ac98b -
Upload checkpoint_p0 with huggingface_hub
af1c23b -
Upload .summary with huggingface_hub
454b7f0 -
initial commit
4c4566d