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

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"

7 / 7 papers shown

Title
Bandit Optimal Transport Lorenzo Croissant 70 0 0 11 Feb 2025
Learning Optimal Stable Matches in Decentralized Markets with Unknown Preferences Vade Shah Bryce L. Ferguson Jason R. Marden 21 2 0 07 Sep 2024
Statistical Inference for Fisher Market Equilibrium Luofeng Liao Yuan Gao Christian Kroer 21 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 36 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 21 46 0 06 Nov 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 237 11,568 0 09 Mar 2017