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Regret, stability & fairness in matching markets with bandit learners

Regret, stability & fairness in matching markets with bandit learners

11 February 2021
Sarah H. Cen
Devavrat Shah
    FaML
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Papers citing "Regret, stability & fairness in matching markets with bandit learners"

5 / 5 papers shown
Title
Learning Optimal Stable Matches in Decentralized Markets with Unknown Preferences
Learning Optimal Stable Matches in Decentralized Markets with Unknown Preferences
Vade Shah
Bryce L. Ferguson
Jason R. Marden
45
2
0
07 Sep 2024
A survey on multi-player bandits
A survey on multi-player bandits
Etienne Boursier
Vianney Perchet
32
13
0
29 Nov 2022
Competing Bandits in Time Varying Matching Markets
Competing Bandits in Time Varying Matching Markets
Deepan Muthirayan
C. Maheshwari
Pramod P. Khargonekar
S. Shankar Sastry
33
1
0
21 Oct 2022
Statistical Inference for Fisher Market Equilibrium
Statistical Inference for Fisher Market Equilibrium
Luofeng Liao
Yuan Gao
Christian Kroer
36
4
0
29 Sep 2022
Learn to Match with No Regret: Reinforcement Learning in Markov Matching
  Markets
Learn to Match with No Regret: Reinforcement Learning in Markov Matching Markets
Yifei Min
Tianhao Wang
Ruitu Xu
Zhaoran Wang
Michael I. Jordan
Zhuoran Yang
33
21
0
07 Mar 2022
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