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Poster
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Tue 9:00
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Uplifting Bandits
Yu-Guan Hsieh · Shiva Kasiviswanathan · Branislav Kveton
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Workshop
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Clairvoyant Regret Minimization: Equivalence with Nemirovski’s Conceptual Prox Method and Extension to General Convex Games
Gabriele Farina · Christian Kroer · Chung-Wei Lee · Haipeng Luo
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Poster
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Tiered Reinforcement Learning: Pessimism in the Face of Uncertainty and Constant Regret
Jiawei Huang · Li Zhao · Tao Qin · Wei Chen · Nan Jiang · Tie-Yan Liu
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Poster
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Wed 14:00
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Near-Optimal Regret for Adversarial MDP with Delayed Bandit Feedback
Tiancheng Jin · Tal Lancewicki · Haipeng Luo · Yishay Mansour · Aviv Rosenberg
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Poster
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Make Sharpness-Aware Minimization Stronger: A Sparsified Perturbation Approach
Peng Mi · Li Shen · Tianhe Ren · Yiyi Zhou · Xiaoshuai Sun · Rongrong Ji · Dacheng Tao
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Poster
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How and Why to Manipulate Your Own Agent: On the Incentives of Users of Learning Agents
Yoav Kolumbus · Noam Nisan
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Poster
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Thu 14:00
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Efficient Phi-Regret Minimization in Extensive-Form Games via Online Mirror Descent
Yu Bai · Chi Jin · Song Mei · Ziang Song · Tiancheng Yu
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Poster
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Thu 9:00
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IMED-RL: Regret optimal learning of ergodic Markov decision processes
Fabien Pesquerel · Odalric-Ambrym Maillard
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Poster
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Thu 14:00
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Near-Optimal Goal-Oriented Reinforcement Learning in Non-Stationary Environments
Liyu Chen · Haipeng Luo
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Poster
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Thu 14:00
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Adapting to Online Label Shift with Provable Guarantees
Yong Bai · Yu-Jie Zhang · Peng Zhao · Masashi Sugiyama · Zhi-Hua Zhou
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Poster
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Wed 9:00
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Queue Up Your Regrets: Achieving the Dynamic Capacity Region of Multiplayer Bandits
Ilai Bistritz · Nicholas Bambos
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Poster
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Wed 14:00
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Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
Yifei Min · Tianhao Wang · Ruitu Xu · Zhaoran Wang · Michael Jordan · Zhuoran Yang
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