https://github.com/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).

baselines efficient-algorithm exploration-strategy gym machine-learning pybullet pytorch reinforcement-learning robotics toolbox

Last synced: 04 Dec 2024