Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
RiverraidNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_riverraid_1111 with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- sample-factory
How to use edbeeching/atari_2B_atari_riverraid_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_riverraid_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
Commit History
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Add `agent.pt` and tag the environment
Verified signatureThis commit adds a model that is compatible with the [🥇 Open RL Leaderboard 🥇](https://huggingface.co/spaces/open-rl-leaderboard/leaderboard).79ae16b
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Upload replay.mp4 with huggingface_hub
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Upload README.md with huggingface_hub
c06a8d4 -
Upload cfg.json with huggingface_hub
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Upload checkpoint_p0 with huggingface_hub
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Upload .summary with huggingface_hub
630a4bd -
Upload replay.mp4 with huggingface_hub
6c60118 -
Upload README.md with huggingface_hub
e95c609 -
Upload cfg.json with huggingface_hub
0192c76 -
Upload checkpoint_p0 with huggingface_hub
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Upload .summary with huggingface_hub
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initial commit
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