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Poster
Wed 16:30 Breaking the Sample Complexity Barrier to Regret-Optimal Model-Free Reinforcement Learning
Gen Li · Laixi Shi · Yuxin Chen · Yuantao Gu · Yuejie Chi
Poster
Thu 0:30 On the Provable Generalization of Recurrent Neural Networks
Lifu Wang · Bo Shen · Bo Hu · Xing Cao
Poster
Fri 8:30 Local Signal Adaptivity: Provable Feature Learning in Neural Networks Beyond Kernels
Stefani Karp · Ezra Winston · Yuanzhi Li · Aarti Singh
Poster
Wed 0:30 Labeling Trick: A Theory of Using Graph Neural Networks for Multi-Node Representation Learning
Muhan Zhang · Pan Li · Yinglong Xia · Kai Wang · Long Jin
Poster
Wed 16:30 Online Learning in Periodic Zero-Sum Games
Tanner Fiez · Ryann Sim · Stratis Skoulakis · Georgios Piliouras · Lillian Ratliff
Poster
Wed 0:30 Latent Equilibrium: A unified learning theory for arbitrarily fast computation with arbitrarily slow neurons
Paul Haider · Benjamin Ellenberger · Laura Kriener · Jakob Jordan · Walter Senn · Mihai A. Petrovici
Oral
Tue 1:00 An Exponential Lower Bound for Linearly Realizable MDP with Constant Suboptimality Gap
Yuanhao Wang · Ruosong Wang · Sham Kakade
Poster
Fri 8:30 Adversarial Training Helps Transfer Learning via Better Representations
Zhun Deng · Linjun Zhang · Kailas Vodrahalli · Kenji Kawaguchi · James Zou
Poster
Fri 8:30 Visual Adversarial Imitation Learning using Variational Models
Rafael Rafailov · Tianhe Yu · Aravind Rajeswaran · Chelsea Finn
Poster
Thu 0:30 Going Beyond Linear RL: Sample Efficient Neural Function Approximation
Baihe Huang · Kaixuan Huang · Sham Kakade · Jason Lee · Qi Lei · Runzhe Wang · Jiaqi Yang
Poster
Tue 8:30 Accurate Point Cloud Registration with Robust Optimal Transport
Zhengyang Shen · Jean Feydy · Peirong Liu · Ariel H Curiale · Ruben San Jose Estepar · Raul San Jose Estepar · Marc Niethammer
Poster
Tue 16:30 Nearly Horizon-Free Offline Reinforcement Learning
Tongzheng Ren · Jialian Li · Bo Dai · Simon Du · Sujay Sanghavi