My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits

23 February 2020

Papers citing "My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits"

7 / 7 papers shown

Title
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup David Meger 85 0 0 03 Jan 2025
Fair Resource Allocation in Weakly Coupled Markov Decision Processes Xiaohui Tu Yossiri Adulyasak Nima Akbarzadeh Erick Delage 44 0 0 14 Nov 2024
Learning to Control Unknown Strongly Monotone Games Siddharth Chandak Ilai Bistritz Nicholas Bambos 36 3 0 30 Jun 2024
Decision Market Based Learning For Multi-agent Contextual Bandit Problems Wenlong Wang T. Pfeiffer 21 1 0 01 Dec 2022
Socially Fair Reinforcement Learning Debmalya Mandal Jiarui Gan OffRL 25 13 0 26 Aug 2022
Cooperative Stochastic Multi-agent Multi-armed Bandits Robust to Adversarial Corruptions Junyan Liu Shuai Li Dapeng Li 23 6 0 08 Jun 2021
Bandit based centralized matching in two-sided markets for peer to peer lending Soumajyoti Sarkar 11 0 0 06 May 2021