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).
I am working with this codebase right now and had to locally update the imports as 'src' does not exist—replaced with 'rlexplore' so that the code is imported correctly. I think I fixed it all the relevant places.
yuanmingqi
commented
1 year ago
I am working with this codebase right now and had to locally update the imports as 'src' does not exist—replaced with 'rlexplore' so that the code is imported correctly. I think I fixed it all the relevant places.