Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
CrazyClimberNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_crazyclimber_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_crazyclimber_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_crazyclimber_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
7d37a2d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:e367e88c46f74d0a9b2f5c558fe54231b63ce8b3a492a80aadb8b397f77bb098
size 6987917
|