Reinforcement Learning
sample-factory
deep-reinforcement-learning
PongNoFrameskip-v4
Eval Results (legacy)
Instructions to use qgallouedec/atari_2B_atari_pong_1111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use qgallouedec/atari_2B_atari_pong_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r qgallouedec/atari_2B_atari_pong_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
Add `agent.pt` and tag the environment
#5
by qgallouedec HF Staff - opened
agent.pt
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oid sha256:5f5d018f118618e4c4d52f27e42f9331c3ee3277191e0969d5d458b99f7a2401
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size 6981705
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