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Workshop
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Fri 2:00
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Reinforcement Learning at the Hyperscale
Jakob Foerster
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Poster
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Thu 4:30
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Zero-Shot Reinforcement Learning via Function Encoders
Tyler Ingebrand · Amy Zhang · Ufuk Topcu
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Workshop
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Sat 1:00
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XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin · Vladislav Kurenkov · Ilya Zisman · Artem Agarkov · Viacheslav Sinii · Sergey Kolesnikov
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Workshop
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Fri 8:00
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Uncertainty-aware Preference Alignment in Reinforcement Learning from Human Feedback
Sheng Xu · Bo Yue · Hongyuan Zha · Guiliang Liu
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Workshop
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Fri 4:45
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Oral Presentation 3: DigiRL: Training In-The-Wild Device-Control Agents with Autonomous Reinforcement Learning
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Poster
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Thu 2:30
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SHINE: Shielding Backdoors in Deep Reinforcement Learning
Zhuowen Yuan · Wenbo Guo · Jinyuan Jia · Bo Li · Dawn Song
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Workshop
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Fri 8:00
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Inverse Reinforcement Learning from Demonstrations for LLM Alignment
Hao Sun · M van der Schaar
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Workshop
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Fri 8:00
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Efficient Inverse Reinforcement Learning without Compounding Errors
Nicolas Espinosa Dice · Gokul Swamy · Sanjiban Choudhury · Wen Sun
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Workshop
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In-Context Reinforcement Learning Without Optimal Action Labels
Juncheng Dong · Moyang Guo · Ethan Fang · Zhuoran Yang · Vahid Tarokh
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Workshop
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Sat 1:00
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DynaMITE-RL: A Dynamic Model for Improved Temporal Meta-Reinforcement Learning
Anthony Liang · Guy Tennenholtz · Chih-wei Hsu · Yinlam Chow · Erdem Biyik · Craig Boutilier
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Workshop
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Bridging Distributional and Risk-Sensitive Reinforcement Learning: Balancing Statistical, Computational, and Risk Considerations
Hao Liang
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Workshop
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Sat 2:30
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Transformers Learn Temporal Difference Methods for In-Context Reinforcement Learning
Jiuqi Wang · Ethan Blaser · Hadi Daneshmand · Shangtong Zhang
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