RLE-Foundation / RLeXploreView on GitHub
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).
☆466Apr 4, 2025Updated last year

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