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Poster
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Thu 9:00
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Matrix Multiplicative Weights Updates in Quantum Zero-Sum Games: Conservation Laws & Recurrence
Rahul Jain · Georgios Piliouras · Ryann Sim
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Poster
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Tue 14:00
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Differentially Private Online-to-batch for Smooth Losses
Qinzi Zhang · Hoang Tran · Ashok Cutkosky
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Poster
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Thu 9:00
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Beyond Time-Average Convergence: Near-Optimal Uncoupled Online Learning via Clairvoyant Multiplicative Weights Update
Georgios Piliouras · Ryann Sim · Stratis Skoulakis
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Workshop
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Uncertainty-Driven Pessimistic Q-Ensemble for Offline-to-Online Reinforcement Learning
Ingook Jang · Seonghyun Kim
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Workshop
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A Game-Theoretic Perspective of Generalization in Reinforcement Learning
Chang Yang · RUIYU WANG · Xinrun Wang · Zhen Wang
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Poster
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Trading Off Resource Budgets For Improved Regret Bounds
Thomas Orton · Damon Falck
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Poster
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Wed 9:00
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Learning Distributed and Fair Policies for Network Load Balancing as Markov Potential Game
Zhiyuan Yao · Zihan Ding
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Workshop
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Towards customizable reinforcement learning agents: Enabling preference specification through online vocabulary expansion
Utkarsh Soni · Sarath Sreedharan · Mudit Verma · Lin Guan · Matthew Marquez · Subbarao Kambhampati
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Poster
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Wed 14:00
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An α-regret analysis of Adversarial Bilateral Trade
Yossi Azar · Amos Fiat · Federico Fusco
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Poster
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Thu 14:00
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Video PreTraining (VPT): Learning to Act by Watching Unlabeled Online Videos
Bowen Baker · Ilge Akkaya · Peter Zhokov · Joost Huizinga · Jie Tang · Adrien Ecoffet · Brandon Houghton · Raul Sampedro · Jeff Clune
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Poster
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Tue 14:00
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Diversified Recommendations for Agents with Adaptive Preferences
William Brown · Arpit Agarwal
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Poster
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Tue 14:00
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Parameter-free Regret in High Probability with Heavy Tails
Jiujia Zhang · Ashok Cutkosky
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