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21 Results
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Poster
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Faster Last-iterate Convergence of Policy Optimization in Zero-Sum Markov Games Shicong Cen · Yuejie Chi · Simon Du · Lin Xiao |
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Poster
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Mon 7:30 |
Computational Language Acquisition with Theory of Mind Andy Liu · Hao Zhu · Emmy Liu · Yonatan Bisk · Graham Neubig |
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Poster
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Mon 7:30 |
Modeling content creator incentives on algorithm-curated platforms Jiri Hron · Karl Krauth · Michael Jordan · Niki Kilbertus · Sarah Dean |
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Poster
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On Accelerated Perceptrons and Beyond Guanghui Wang · Rafael Hanashiro · Etash Guha · Jacob Abernethy |
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Oral
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Mon 6:40 |
Modeling content creator incentives on algorithm-curated platforms Jiri Hron · Karl Krauth · Michael Jordan · Niki Kilbertus · Sarah Dean |
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Poster
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Representation Learning for Low-rank General-sum Markov Games Chengzhuo Ni · Yuda Song · Xuezhou Zhang · Zihan Ding · Chi Jin · Mengdi Wang |
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Poster
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Nearly Minimax Optimal Offline Reinforcement Learning with Linear Function Approximation: Single-Agent MDP and Markov Game Wei Xiong · Han Zhong · Chengshuai Shi · Cong Shen · Liwei Wang · Tong Zhang |
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Poster
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MACTA: A Multi-agent Reinforcement Learning Approach for Cache Timing Attacks and Detection Jiaxun Cui · Xiaomeng Yang · Mulong Luo · Geunbae Lee · Peter Stone · Hsien-Hsin Lee · Benjamin Lee · G. Edward Suh · Wenjie Xiong · Yuandong Tian |
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Poster
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Tue 7:30 |
A Unified Approach to Reinforcement Learning, Quantal Response Equilibria, and Two-Player Zero-Sum Games Samuel Sokota · Ryan D'Orazio · Zico Kolter · Nicolas Loizou · Marc Lanctot · Ioannis Mitliagkas · Noam Brown · Christian Kroer |