Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
PhoenixNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_phoenix_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_phoenix_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_phoenix_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
Download replay.mp4 from edbeeching/atari_2B_atari_phoenix_1111: direct link, hf CLI and curl.
- Browser
- Download file 5.75 MB
-
https://huggingface.co/edbeeching/atari_2B_atari_phoenix_1111/resolve/main/replay.mp4
- Command line
-
hf download hf://edbeeching/atari_2B_atari_phoenix_1111/replay.mp4
-
curl -L -o replay.mp4 https://huggingface.co/edbeeching/atari_2B_atari_phoenix_1111/resolve/main/replay.mp4
5.75 MB
- Xet hash:
- 0f290a5238b2c3da6c19af35b0e7b53d31c7be50db17c9204a543a366857a697
- Size of remote file:
- 5.75 MB
- SHA256:
- e54b6a88c4c21dd1e25391fac61b5b89f9880f8b2d88a9aecdf15f53a4f13947
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