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Poster
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Near-Optimal Deployment Efficiency in Reward-Free Reinforcement Learning with Linear Function Approximation
Dan Qiao · Yu-Xiang Wang
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Poster
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Wed 7:30
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DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Qitian Wu · Chenxiao Yang · Wentao Zhao · Yixuan He · David Wipf · Junchi Yan
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Poster
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A General Framework for Sample-Efficient Function Approximation in Reinforcement Learning
Zixiang Chen · Chris Junchi Li · Angela Yuan · Quanquan Gu · Michael Jordan
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Poster
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Asymptotic Instance-Optimal Algorithms for Interactive Decision Making
Kefan Dong · Tengyu Ma
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Poster
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Near-Optimal Adversarial Reinforcement Learning with Switching Costs
Ming Shi · Yingbin Liang · Ness Shroff
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Poster
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Quasi-optimal Reinforcement Learning with Continuous Actions
Yuhan Li · Wenzhuo Zhou · Ruoqing Zhu
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Poster
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Wed 7:30
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Towards convergence to Nash equilibria in two-team zero-sum games
Fivos Kalogiannis · Ioannis Panageas · Emmanouil-Vasileios Vlatakis-Gkaragkounis
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Workshop
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Thu 4:00
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Why Can GPT Learn In-Context? Language Models Implicitly Perform Gradient Descent as Meta-Optimizers
Damai Dai · Yutao Sun · Li Dong · Yaru Hao · Shuming Ma · Zhifang Sui · Furu Wei
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Poster
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Exponential Generalization Bounds with Near-Optimal Rates for Lq-Stable Algorithms
Xiaotong Yuan · Ping Li
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Poster
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Achieving Near-Optimal Individual Regret & Low Communications in Multi-Agent Bandits
Xuchuang Wang · Lin Yang · Yu-Zhen Janice Chen · Xutong Liu · Mohammad Hajiesmaili · Don Towsley · John C.S. Lui
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Poster
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M-L2O: Towards Generalizable Learning-to-Optimize by Test-Time Fast Self-Adaptation
Junjie Yang · Xuxi Chen · Tianlong Chen · Zhangyang Wang · Yingbin Liang
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Oral
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Wed 6:50
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DIFFormer: Scalable (Graph) Transformers Induced by Energy Constrained Diffusion
Qitian Wu · Chenxiao Yang · Wentao Zhao · Yixuan He · David Wipf · Junchi Yan
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