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Poster
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Wed 11:00
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Reinforcement Learning Under Latent Dynamics: Toward Statistical and Algorithmic Modularity
Philip Amortila · Dylan J Foster · Nan Jiang · Akshay Krishnamurthy · Zak Mhammedi
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Poster
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Fri 16:30
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Randomized Exploration for Reinforcement Learning with Multinomial Logistic Function Approximation
Wooseong Cho · Taehyun Hwang · Joongkyu Lee · Min-hwan Oh
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Poster
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Wed 11:00
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No-Regret M♮-Concave Function Maximization: Stochastic Bandit Algorithms and NP-Hardness of Adversarial Full-Information Setting
Taihei Oki · Shinsaku Sakaue
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Poster
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Wed 11:00
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Learning 3D Equivariant Implicit Function with Patch-Level Pose-Invariant Representation
Xin Hu · Xiaole Tang · Ruixuan Yu · Jian Sun
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Expo Demonstration
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Tue 15:00
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Moving beyond chat: Enabling LLMs with intrinsic functions that give fine-grained control in application development
Luis Lastras · Kristjan Greenewald · Nathalie Baracaldo
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Poster
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Wed 16:30
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Minimax Optimal and Computationally Efficient Algorithms for Distributionally Robust Offline Reinforcement Learning
Zhishuai Liu · Pan Xu
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Poster
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Thu 16:30
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Sample-Efficient Constrained Reinforcement Learning with General Parameterization
Washim Mondal · Vaneet Aggarwal
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