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PyTorch implementation of the Offline Reinforcement Learning algorithm CQL. Includes the versions DQN-CQL and SAC-CQL for discrete and continuous action spaces.

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Hi, thank you for sharing the torch version code of CQL :) I found as training on Hopper-expert-v2 env, CQL-SAC performs poorly. Don't know why that happends. Following are the...

First, thanks your implementation of so many CQL. The below question are some related to your implementation, and some are related to CQL itself. 1. why the returned value of...

Thanks a lot for the CQL implementation! I wanted to run the offline CQL-SAC for Atari environments and saw your offline training code is for continuous environments only. Have you...

I am studying by referring to your CQL code. But, I think Line 68 not be proper to Offline RL when I run the train.py of CQL-SAC. Line 68 :...