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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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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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Poster
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Tue 14:00
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Finding Correlated Equilibrium of Constrained Markov Game: A Primal-Dual Approach
Ziyi Chen · Shaocong Ma · Yi Zhou
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Poster
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Wed 14:00
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Learning in Congestion Games with Bandit Feedback
Qiwen Cui · Zhihan Xiong · Maryam Fazel · Simon Du
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Poster
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Thu 14:00
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When are Offline Two-Player Zero-Sum Markov Games Solvable?
Qiwen Cui · Simon Du
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Poster
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Wed 14:00
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MATE: Benchmarking Multi-Agent Reinforcement Learning in Distributed Target Coverage Control
Xuehai Pan · Mickel Liu · Fangwei Zhong · Yaodong Yang · Song-Chun Zhu · Yizhou Wang
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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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Poster
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Wed 14:00
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Sample-Efficient Reinforcement Learning of Partially Observable Markov Games
Qinghua Liu · Csaba Szepesvari · Chi Jin
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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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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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Workshop
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Sat 7:01
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Invited talk: Scaling reinforcement learning in the real world, from gaming to finance to manufacturing
Robert Nishihara
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Poster
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Wed 9:00
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Optimistic Mirror Descent Either Converges to Nash or to Strong Coarse Correlated Equilibria in Bimatrix Games
Ioannis Anagnostides · Gabriele Farina · Ioannis Panageas · Tuomas Sandholm
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