Instructions to use wmFrank/sample-factory-2-atari-pong with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use wmFrank/sample-factory-2-atari-pong with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r wmFrank/sample-factory-2-atari-pong -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
Upload README.md with huggingface_hub
Browse files
README.md
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results:
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task:
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type: reinforcement-learning
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results:
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value: 13.50 +/- 7.43
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name: mean_reward
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task:
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type: reinforcement-learning
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