Reinforcement Learning with Stepwise Fairness Constraints

8 November 2022

Papers citing "Reinforcement Learning with Stepwise Fairness Constraints"

8 / 8 papers shown

Title
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making P. A. Alamdari Toryn Q. Klassen Elliot Creager Sheila A. McIlraith 13 4 0 08 Dec 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive Attributes Jinwon Sohn Qifan Song Guang Lin FaML 34 1 0 10 Nov 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning Zuxin Liu Zijian Guo Haohong Lin Yi-Fan Yao Jiacheng Zhu ... Hanjiang Hu Wenhao Yu Tingnan Zhang Jie Tan Ding Zhao OffRL 22 36 0 15 Jun 2023
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning Peizhong Ju A. Ghosh Ness B. Shroff 30 4 0 01 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and Challenges Ziyuan Zhou Guanjun Liu Ying-Si Tang 33 14 0 17 May 2023
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks Yuzhen Mao Zhun Deng Huaxiu Yao Ting Ye Kenji Kawaguchi James Zou 36 20 0 08 Apr 2023
HappyMap: A Generalized Multi-calibration Method Zhun Deng Cynthia Dwork Linjun Zhang 68 17 0 08 Mar 2023
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced Data Zhun Deng Jiayao Zhang Linjun Zhang Ting Ye Yates Coley Weijie J. Su James Zou 41 16 0 06 Jun 2022