Learn to Match with No Regret: Reinforcement Learning in Markov Matching
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Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets

7 March 2022

Tianhao Wang

Michael I. Jordan

Papers citing "Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets"

18 / 18 papers shown

Title
Bandit Optimal Transport Lorenzo Croissant 75 0 0 11 Feb 2025
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems Liyuan Hu 39 0 0 11 Jan 2025
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion Ke Sun Shen Chen Taiping Yao Hong Liu Xiaoshuai Sun Shouhong Ding Rongrong Ji DiffM 21 6 0 06 Oct 2024
Learning Optimal Stable Matches in Decentralized Markets with Unknown Preferences Vade Shah Bryce L. Ferguson Jason R. Marden 34 2 0 07 Sep 2024
Taming Equilibrium Bias in Risk-Sensitive Multi-Agent Reinforcement Learning Yingjie Fei Ruitu Xu 33 0 0 04 May 2024
Player-optimal Stable Regret for Bandit Learning in Matching Markets Fang-yuan Kong Shuai Li 13 11 0 20 Jul 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation Yifei Min Jiafan He Tianhao Wang Quanquan Gu 38 7 0 10 May 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning Ruitu Xu Yifei Min Tianhao Wang Zhaoran Wang Michael I. Jordan Zhuoran Yang 28 6 0 24 Feb 2023
Fairness in Matching under Uncertainty Siddartha Devic David Kempe Vatsal Sharan Aleksandra Korolova FaML 24 6 0 08 Feb 2023
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints Yuantong Li Guang Cheng Xiaowu Dai 13 5 0 24 Jan 2023
Statistical Inference and A/B Testing for First-Price Pacing Equilibria Luofeng Liao Christian Kroer 22 6 0 05 Jan 2023
Competing Bandits in Time Varying Matching Markets Deepan Muthirayan C. Maheshwari Pramod P. Khargonekar S. Shankar Sastry 20 1 0 21 Oct 2022
Statistical Inference for Fisher Market Equilibrium Luofeng Liao Yuan Gao Christian Kroer 34 4 0 29 Sep 2022
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes Miao Lu Yifei Min Zhaoran Wang Zhuoran Yang OffRL 45 22 0 26 May 2022
Exponential Bellman Equation and Improved Regret Bounds for Risk-Sensitive Reinforcement Learning Yingjie Fei Zhuoran Yang Yudong Chen Zhaoran Wang 29 46 0 06 Nov 2021
Deep Learning for Two-Sided Matching S. Ravindranath Zhe Feng Shira Li Jonathan Ma S. Kominers David C. Parkes 18 22 0 07 Jul 2021
Provably Efficient Reinforcement Learning with Linear Function Approximation Under Adaptivity Constraints Chi Jin Zhuoran Yang Zhaoran Wang OffRL 107 166 0 06 Jan 2021
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks Chelsea Finn Pieter Abbeel Sergey Levine OOD 281 11,681 0 09 Mar 2017