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2203.03684
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Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
Neural Information Processing Systems (NeurIPS), 2022
7 March 2022
Yifei Min
Tianhao Wang
Ruitu Xu
Zhaoran Wang
Sai Li
Zhuoran Yang
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Papers citing
"Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets"
18 / 18 papers shown
Optimal Algorithms for Bandit Learning in Matching Markets
Tejas Pagare
Agniv Bandyopadhyay
Sandeep Juneja
127
0
0
17 Sep 2025
EMERGENT: Efficient and Manipulation-resistant Matching using GFlowNets
Mayesha Tasnim
Erman Acar
Sennay Ghebreab
100
0
0
22 May 2025
Bandit Optimal Transport
Lorenzo Croissant
305
0
0
11 Feb 2025
Hierarchical Reinforcement Learning for Optimal Agent Grouping in Cooperative Systems
Liyuan Hu
169
0
0
11 Jan 2025
DiffusionFake: Enhancing Generalization in Deepfake Detection via Guided Stable Diffusion
Neural Information Processing Systems (NeurIPS), 2024
Ke Sun
Shen Chen
Taiping Yao
Hong Liu
Xiaoshuai Sun
Shouhong Ding
Rongrong Ji
DiffM
186
10
0
06 Oct 2024
Centralized Selection with Preferences in the Presence of Biases
International Conference on Machine Learning (ICML), 2024
L. E. Celis
Amit Kumar
Nisheeth K. Vishnoi
Andrew Xu
176
0
0
07 Sep 2024
Learning Optimal Stable Matches in Decentralized Markets with Unknown Preferences
IEEE Conference on Decision and Control (CDC), 2024
Vade Shah
Bryce L. Ferguson
Jason R. Marden
267
2
0
07 Sep 2024
Taming Equilibrium Bias in Risk-Sensitive Multi-Agent Reinforcement Learning
Yingjie Fei
Ruitu Xu
188
0
0
04 May 2024
Player-optimal Stable Regret for Bandit Learning in Matching Markets
ACM-SIAM Symposium on Discrete Algorithms (SODA), 2023
Fang-yuan Kong
Shuai Li
303
18
0
20 Jul 2023
Cooperative Multi-Agent Reinforcement Learning: Asynchronous Communication and Linear Function Approximation
International Conference on Machine Learning (ICML), 2023
Yifei Min
Jiafan He
Tianhao Wang
Quanquan Gu
334
10
0
10 May 2023
Finding Regularized Competitive Equilibria of Heterogeneous Agent Macroeconomic Models with Reinforcement Learning
International Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Ruitu Xu
Yifei Min
Tianhao Wang
Zhaoran Wang
Michael I. Jordan
Zhuoran Yang
209
8
0
24 Feb 2023
Fairness in Matching under Uncertainty
International Conference on Machine Learning (ICML), 2023
Siddartha Devic
David Kempe
Willie Neiswanger
Aleksandra Korolova
FaML
194
7
0
08 Feb 2023
Two-sided Competing Matching Recommendation Markets With Quota and Complementary Preferences Constraints
International Conference on Machine Learning (ICML), 2023
Yuantong Li
Guang Cheng
Xiaowu Dai
381
8
0
24 Jan 2023
Statistical Inference and A/B Testing for First-Price Pacing Equilibria
International Conference on Machine Learning (ICML), 2023
Luofeng Liao
Christian Kroer
244
7
0
05 Jan 2023
Competing Bandits in Time Varying Matching Markets
Conference on Learning for Dynamics & Control (L4DC), 2022
Deepan Muthirayan
C. Maheshwari
Pramod P. Khargonekar
S. Shankar Sastry
244
5
0
21 Oct 2022
Statistical Inference for Fisher Market Equilibrium
International Conference on Learning Representations (ICLR), 2022
Luofeng Liao
Yuan Gao
Christian Kroer
291
4
0
29 Sep 2022
Pessimism in the Face of Confounders: Provably Efficient Offline Reinforcement Learning in Partially Observable Markov Decision Processes
International Conference on Learning Representations (ICLR), 2022
Miao Lu
Yifei Min
Zhaoran Wang
Zhuoran Yang
OffRL
378
26
0
26 May 2022
Deep Learning for Two-Sided Matching
S. Ravindranath
Zhe Feng
Shira Li
Jonathan Ma
S. Kominers
David C. Parkes
276
24
0
07 Jul 2021
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