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Q-Transformer
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2026-02-19 02:00:11
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Q-Transformer Q-Transformer: Scalable Offline Reinforcement Learning via Autoregressive Q-Functions Yevgen Chebotar* Quan Vuong* Alex Irpan Karol Hausman Fei Xia Yao Lu Aviral Kumar Tianhe Yu Alexander Herzog Karl Pertsch Keerthana Gopalakrishnan Julian Ibarz Ofir Nachum Sumedh Sontakke Grecia Salazar Huong T Tran Jodilyn Peralta Clayton Tan Deeksha Manjunath Jaspiar Singht Brianna Zitkovich Tomas Jackson Kanishka Rao Chelsea Finn Sergey Levine *equal contribution Paper Videos Abstract In this work, we present a scalable reinforcement learning method for training multi-task policies from large offline datasets that can leverage both human demonstrations and autonomously collected data. Our method uses a Transformer to provide a scalable representation for Q-functions trained via offline temporal difference backups. We therefore refer to the method as Q-Transformer. By discretizing...
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