RLE-Foundation / RLeXplore

RLeXplore provides stable baselines of exploration methods in reinforcement learning, such as intrinsic curiosity module (ICM), random network distillation (RND) and rewarding impact-driven exploration (RIDE).
https://docs.rllte.dev/
MIT License
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make the project pip installable (add minimal pyproject.toml & setup.py) #9

Closed jkbjh closed 4 months ago

yuanmingqi commented 1 year ago

Dear jkbjh,

This repo has been merged with a new project: https://github.com/RLE-Foundation/Hsuanwu, in which more reasonable implementations are provided!

Welcome to contribute to the new project!

Thank you!