A Clean Slate for Offline Reinforcement Learning

NeurIPSOral2025

Authors
Matthew Thomas Jackson, Uljad Berdica, Jarek Luca Liesen, Shimon Whiteson, Jakob Nicolaus Foerster
Affiliation
Google DeepMind
Venue
NeurIPS 2025
Track
Oral

TL;DR

We propose a principled taxonomy, evaluation procedure, and unified algorithm space for offline RL.

Opening excerpt from the authors’ abstract. source

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Topics

offline reinforcement learning reinforcement learning evaluation

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