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edbeeching
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atari_2B_atari_riverraid_2222

Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
RiverraidNoFrameskip-v4
Eval Results (legacy)
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How to use from the
Use from the
sample-factory library
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_riverraid_2222 -d ./train_dir

A(n) APPO model trained on the atari_riverraid environment. This model was trained using Sample Factory 2.0: https://github.com/alex-petrenko/sample-factory

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Reinforcement Learning
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Evaluation results

  • mean_reward on atari_riverraid
    self-reported
    22423.50 +/- 9564.01