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Description
Project URL
https://pypi.org/project/robust-gymnasium/
Does this project already exist?
- Yes
New limit
1G
Update issue title
- I have updated the title.
Which indexes
PyPI
About the project
This project aims to advance robust reinforcement learning (RL) for real-world applications and domain adaptation. The benchmark provides a comprehensive set of tasks that cover various robustness requirements in the face of uncertainty on state, action, reward and environmental dynamics, and span diverse applications including control, robot manipulations, dexterous hand, and so on (This repository is under actively development. We appreciate any constructive comments and suggestions).
How large is each release?
~500 MiB total.
This includes two Linux wheels at ~200 MiB each (mainly due to bundled simulation assets and binaries), several Windows/MacOS wheels at ~30–40 MiB each, and the source tarball at ~30 MiB. Most of the size comes from essential simulation models, assets, and dependencies required for reproducible research.
How frequently do you make a release?
once every two months
Code of Conduct
- I agree to follow the PSF Code of Conduct