Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
BoxingNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_boxing_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_boxing_3333 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_boxing_3333 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
896748d | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:fc0f601aa5c1fa254b0cd1edb616cbf2aa0f0abec32e3333a8f831fc7b85bf1c
size 7006413
|