Reinforcement Learning
sample-factory
TensorBoard
deep-reinforcement-learning
RobotankNoFrameskip-v4
Eval Results (legacy)
Instructions to use edbeeching/atari_2B_atari_robotank_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_robotank_1111 with sample-factory:
python -m sample_factory.huggingface.load_from_hub -r edbeeching/atari_2B_atari_robotank_1111 -d ./train_dir
- Notebooks
- Google Colab
- Kaggle
- Xet hash:
- 1bb3328bebad99da67d316231c750b4fe28a94835cb8aba86c386ffa88810d18
- Size of remote file:
- 7.01 MB
- SHA256:
- 77d40092b016a2154333efd0ee9e58c3f372d2cae45b377de6d113d4f252d049
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