What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning

16 April 2024

Papers citing "What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning"

5 / 5 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
OmniSafe: An Infrastructure for Accelerating Safe Reinforcement Learning Research Jiaming Ji Jiayi Zhou Borong Zhang Juntao Dai Xuehai Pan Ruiyang Sun Weidong Huang Yiran Geng Mickel Liu Yaodong Yang OffRL 75 47 0 16 May 2023
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems Eric Yang Yu Zhizhen Qin Min Kyung Lee Sicun Gao OffRL 37 15 0 22 Oct 2022
Achieving User-Side Fairness in Contextual Bandits Wen Huang Kevin Labille Xintao Wu Dongwon Lee Neil T. Heffernan FaML 87 18 0 22 Oct 2020
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 344 4,230 0 23 Aug 2019