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Reinforcement Learning with Stepwise Fairness Constraints

Reinforcement Learning with Stepwise Fairness Constraints

International Conference on Artificial Intelligence and Statistics (AISTATS), 2022
8 November 2022
Zhun Deng
He Sun
Zhiwei Steven Wu
Linjun Zhang
David C. Parkes
    FaMLOffRL
ArXiv (abs)PDFHTML

Papers citing "Reinforcement Learning with Stepwise Fairness Constraints"

7 / 7 papers shown
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision
  Making
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision MakingInternational Conference on Machine Learning (ICML), 2023
P. A. Alamdari
Toryn Q. Klassen
Elliot Creager
Sheila A. McIlraith
378
7
0
08 Dec 2023
Fair Supervised Learning with A Simple Random Sampler of Sensitive
  Attributes
Fair Supervised Learning with A Simple Random Sampler of Sensitive AttributesInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2023
Jinwon Sohn
Qifan Song
Guang Lin
FaML
334
2
0
10 Nov 2023
Datasets and Benchmarks for Offline Safe Reinforcement Learning
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
302
53
0
15 Jun 2023
Achieving Fairness in Multi-Agent Markov Decision Processes Using
  Reinforcement Learning
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning
Peizhong Ju
A. Ghosh
Ness B. Shroff
256
6
0
01 Jun 2023
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary
  Prospects, and Challenges
Multi-Agent Reinforcement Learning: Methods, Applications, Visionary Prospects, and ChallengesIEEE Transactions on Intelligent Vehicles (TIV), 2023
Ziyuan Zhou
Guanjun Liu
Ying-Si Tang
296
34
0
17 May 2023
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural
  Networks
Last-Layer Fairness Fine-tuning is Simple and Effective for Neural Networks
Yuzhen Mao
Zhun Deng
Huaxiu Yao
Ting Ye
Kenji Kawaguchi
James Zou
284
28
0
08 Apr 2023
FIFA: Making Fairness More Generalizable in Classifiers Trained on
  Imbalanced Data
FIFA: Making Fairness More Generalizable in Classifiers Trained on Imbalanced DataInternational Conference on Learning Representations (ICLR), 2022
Zhun Deng
Jiayao Zhang
Linjun Zhang
Ting Ye
Yates Coley
Weijie J. Su
James Zou
177
17
0
06 Jun 2022
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