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Download README.md from edbeeching/prj_gia_dataset_atari_2B_atari_crazyclimber_1111: direct link, hf CLI and curl.
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https://huggingface.co/datasets/edbeeching/prj_gia_dataset_atari_2B_atari_crazyclimber_1111/resolve/main/README.md
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hf download hf://datasets/edbeeching/prj_gia_dataset_atari_2B_atari_crazyclimber_1111/README.md
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curl -L -o README.md https://huggingface.co/datasets/edbeeching/prj_gia_dataset_atari_2B_atari_crazyclimber_1111/resolve/main/README.md
447 Bytes
metadata
library_name: gia
tags:
- deep-reinforcement-learning
- reinforcement-learning
- gia
- multi-task
- multi-modal
- imitation-learning
- offline-reinforcement-learning
An imitation learning environment for the atari_crazyclimber environment, sample for the policy atari_2B_atari_crazyclimber_1111
This environment was created as part of the Generally Intelligent Agents project gia: https://github.com/huggingface/gia