Iclr26

Princeton RL @ ICLR 2026!

• Demystifying the Mechanisms Behind Emergent Exploration in Goal-conditioned RL, led by Mahsa Bastankhah and Grace Liu. Interactive demo!
• Value Flows, led by Perry Dong and Chongyi Zheng.
• Intention-Conditioned Flow Occupancy Models, led by Chongyi Zheng.
• SLAP: Shortcut Learning for Abstract Planning, led by Isabel Liu.
• Temporal Representations for Exploration: Learning Complex Exploratory Behavior without Extrinsic Rewards, led by Faisal Mohamed.
• Scaling Goal-conditioned Reinforcement Learning with Multistep Quasimetric Distances, led by Bill Zheng.
• Occupancy Reward Shaping: Improving Credit Assignment for Offline Goal-Conditioned Reinforcement Learning, led by Aravind Venugopal.
• Skill Learning via Policy Diversity Yields Identifiable Representations for Reinforcement Learning, led by Patrik Reizinger, Bálint Mucsányi and Siyuan Guo.