Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
AlienNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_alien_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_alien_3333 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_alien_3333 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 77e1fca6fd53c4cfc22cb86b94fa73b1d4a80f706f79a2488c5d4195d86eec2c
- Size of remote file:
- 1.43 MB
- SHA256:
- 33afb3f53f4def99964bfbfcc35a63e64beb17b77c323be0fbad4b15efaf064a
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