Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
StarGunnerNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_stargunner_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_stargunner_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_stargunner_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- fb8da1d92ed2731f7b950bebf53280ae3fc56cdfa07e23070b28972c61223ae4
- Size of remote file:
- 2.38 MB
- SHA256:
- 11a45c77cce41cc72c9c9b81f189a22e4068ffd83d15261b7246ba26cf4e88fe
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