Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
BowlingNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_bowling_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_bowling_3333 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_bowling_3333 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
File size: 132 Bytes
449b685 | 1 2 3 4 | version https://git-lfs.github.com/spec/v1
oid sha256:349d5dc1024ada58d353b00348f54b7f274177a367191864424068cad8703d9f
size 6981773
|