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).

语言：Jupyter Notebook · GitHub 星标：469 · Fork：23

话题：baselines · efficient-algorithm · exploration-strategy · gym · machine-learning · pybullet · pytorch · reinforcement-learning

在 GitHub 上查看原仓库