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).
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459
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Language
Jupyter Notebook
License
MIT
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Last pushed
Apr 04, 2025
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