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 ·
c06a8d4
1
Parent(s): 9ab5eaa
Upload README.md with huggingface_hub
Browse files
README.md
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type: atari_riverraid
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metrics:
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- type: mean_reward
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value:
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name: mean_reward
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verified: false
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---
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type: atari_riverraid
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metrics:
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- type: mean_reward
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value: 16378.50 +/- 6570.48
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name: mean_reward
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verified: false
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---
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