Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
JamesbondNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_jamesbond_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_jamesbond_3333 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_jamesbond_3333 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
06fed51 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:c4e9f6c6ea8ab3112a75131b8e3830937eeacb0a2f07c8632e30dbc10f990ddd
size 7006413
|