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2026 顶会论文

作者位次 #5/6ICLR 2026Poster· Reinforcement Learning / Batch/Offline

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning

Aravind Venugopal · Jiayu Chen · Xudong Wu · Chongyi Zheng · Benjamin Eysenbach · Jeff Schneider

强化学习与后训练OpenReview

作者位次 #4/4ICLR 2026Poster· Reinforcement Learning / Deep RL

Intention-Conditioned Flow Occupancy Models

Chongyi Zheng · Seohong Park · Sergey Levine · Benjamin Eysenbach

强化学习与后训练OpenReview

作者位次 #4/4ICLR 2026Poster· Reinforcement Learning / Deep RL

Learning to Maximize Rewards via Reaching Goals

Chongyi Zheng · Mahsa Bastankhah · Grace Liu · Benjamin Eysenbach

强化学习与后训练OpenReview

作者位次 #5/5ICLR 2026Poster· Reinforcement Learning / Batch/Offline

Value Flows

Perry Dong · Chongyi Zheng · Chelsea Finn · Dorsa Sadigh · Benjamin Eysenbach

强化学习与后训练OpenReview

作者位次 #3/4ICLR 2026Poster· Reinforcement Learning / Everything Else

Scaling Goal-conditioned Reinforcement Learning with Multistep Quasimetric Distances

Bill Zheng · Vivek Myers · Benjamin Eysenbach · Sergey Levine

强化学习与后训练OpenReview

作者位次 #4/6ICLR 2026Poster· Theory / Reinforcement Learning and Planning

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning

Patrik Reizinger · Bálint Mucsányi · Siyuan Guo · Benjamin Eysenbach · Bernhard Schölkopf · Wieland Brendel

推理可解释性强化学习与后训练OpenReview

作者位次 #5/5ICLR 2026Poster· Reinforcement Learning / Deep RL

Demystifying The Mechanisms Behind Emergent Exploration in Goal-Conditioned RL

Mahsa Bastankhah · Grace Liu · Dilip Arumugam · Thomas L. Griffiths · Benjamin Eysenbach

强化学习与后训练可解释性理论与学习动力学OpenReview

作者位次 #3/4ICLR 2026Poster· Applications / Robotics

SLAP: Shortcut Learning for Abstract Planning

Y. Isabel Liu · Bowen Li · Benjamin Eysenbach · Tom Silver

推理OpenReview

作者位次 #3/4ICLR 2026Poster· Reinforcement Learning / Deep RL

Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards

Faisal Mohamed · Catherine Ji · Benjamin Eysenbach · Glen Berseth

强化学习与后训练可解释性OpenReview

Benjamin Eysenbach

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2026 顶会论文

Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning

Intention-Conditioned Flow Occupancy Models

Learning to Maximize Rewards via Reaching Goals

Value Flows

Scaling Goal-conditioned Reinforcement Learning with Multistep Quasimetric Distances

Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning

Demystifying The Mechanisms Behind Emergent Exploration in Goal-Conditioned RL

SLAP: Shortcut Learning for Abstract Planning

Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards

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