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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).
https://docs.rllte.dev/
MIT License
352 stars 16 forks source link

Intrinsic reward #10

Closed mchivuku closed 1 year ago

mchivuku commented 1 year ago

Hello,

Thank you for great code and implementation. I am trying to implement Pathak's intrinsic reward along with stable baselines on a custom env. I would like to use your code. Can you please let me know things I will need to perform in order to accomplish? How do i know if the intrinsic reward computation is correct? Thank you!

mchivuku commented 1 year ago

I am sorry I will close the issue and refer documentation.