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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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).
What is 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).
Is RLeXplore open source?
RLeXplore is an open-source project. It is released under the MIT license.
Is RLeXplore free?
Yes. RLeXplore is free and open source — you can use, modify and self-host it.
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[](https://opensourceai.tech/project/rle-foundation-rlexplore.html)
