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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
333 stars 16 forks source link

The modules cannot be called! #17

Open amirmmi opened 1 month ago

amirmmi commented 1 month ago

Hello, I tried to run the code that you provided in the example ipynb file, but I got the following error:

AttributeError: module 'huggingface_hub.constants' has no attribute 'HF_HUB_CACHE'

here is the image for the complete error: hfjfj

yuanmingqi commented 1 month ago

this looks like an error with huggingface rather than rllte, try:

pip install --upgrade huggingface_hub