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TL;DR: From combining RL with LLMs through more efficient MetaRL and updates in an environment design to classic hyperparameter optimization, these are some of our top picks, plus a selection of our own AutoRL projects at the end of this post. So sit back and enjoy some of the most interesting AutoRL papers of 2023.