Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
AsteroidsNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_asteroid_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_asteroid_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_asteroid_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 97268fa5e055c866c2c7a0fb0b71b3b7b8f825ad729727ad317e37f04126d30a
- Size of remote file:
- 7 MB
- SHA256:
- 70157325f7e5cfdd42d2c339aac147654e389888c41653ff97d623a7fd83dcb3
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