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LucasCJYSDL / DGMs-for-Offline-Policy-Learning

This repository provides a survey on the applications of deep generative models for offline reinforcement learning and imitation learning. We cover multiple deep generative models, including VAEs, GANs, Normalizing Flows, Transformers, and Diffusion Models.
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Looking forward to the repository being continuously updated #1

Open aopolin-lv opened 5 months ago

aopolin-lv commented 5 months ago

Hello, authors. This is a very comprehensive survey, and it is very friendly to people (like me) to know this field rapidly. It's no exaggeration to say I have read your paper more than three times. I hope we can continue to update the repository to promote the development of DGM for ORL. Could you provide the pull request requirements for contributing this repo?

LucasCJYSDL commented 5 months ago

Hi, Qi:

Thank you very much for your appreciation! That's our motivation to do this survey. There are no specific requirements for pull requests since this is not a codebase. If you'd like, you can join this repo as a collaborator.

aopolin-lv commented 5 months ago

Hi Jiayu! Thank you very much! I feel very fortunate that I have been invited to contribute to this repo.