Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
AmidarNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_amidar_1111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use edbeeching/atari_2B_atari_amidar_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_amidar_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
e7b49c8 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:ee99145890f8aceef40024b917dc2592db4f43ed356f7289a86aa65c69baf10d
size 1749985
|