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Fairness in Reinforcement Learning with Bisimulation Metrics

3 January 2025

Papers citing "Fairness in Reinforcement Learning with Bisimulation Metrics"

37 / 37 papers shown

Title
What Hides behind Unfairness? Exploring Dynamics Fairness in Reinforcement Learning Zhihong Deng Jing Jiang Guodong Long Chengqi Zhang 77 2 0 16 Apr 2024
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning Yaowei Hu Jacob Lear Lu Zhang FaML 55 4 0 12 Jan 2024
Adapting Static Fairness to Sequential Decision-Making: Bias Mitigation Strategies towards Equal Long-term Benefit Rate Yuancheng Xu Chenghao Deng Yanchao Sun Ruijie Zheng Xiyao Wang Jieyu Zhao Furong Huang 83 4 0 07 Sep 2023
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning Peizhong Ju A. Ghosh Ness B. Shroff 82 5 0 01 Jun 2023
Long-Term Fairness with Unknown Dynamics Tongxin Yin Reilly P. Raab M. Liu Yang Liu FaML 94 28 0 19 Apr 2023
SoftZoo: A Soft Robot Co-design Benchmark For Locomotion In Diverse Environments Tsun-Hsuan Wang Pingchuan Ma Andrew Spielberg Zhou Xian Hao Zhang J. Tenenbaum Daniela Rus Chuang Gan 62 26 0 16 Mar 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 70 6 0 15 Mar 2023
Fairness and Sequential Decision Making: Limits, Lessons, and Opportunities Samer B. Nashed Justin Svegliato Su Lin Blodgett FaML 58 6 0 13 Jan 2023
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems Eric Yang Yu Zhizhen Qin Min Kyung Lee Sicun Gao OffRL 84 16 0 22 Oct 2022
Socially Fair Reinforcement Learning Debmalya Mandal Jiarui Gan OffRL 82 13 0 26 Aug 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning Philippe Hansen-Estruch Amy Zhang Ashvin Nair Patrick Yin Sergey Levine AI4CE 107 28 0 27 Apr 2022
Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu Lu Zhang 72 22 0 04 Apr 2022
Towards Robust Bisimulation Metric Learning Mete Kemertas Tristan Aumentado-Armstrong OffRL 77 48 0 27 Oct 2021
Heuristic-Guided Reinforcement Learning Ching-An Cheng Andrey Kolobov Adith Swaminathan OffRL 90 62 0 05 Jun 2021
Stochastic Spatio-Temporal Optimization for Control and Co-Design of Systems in Robotics and Applied Physics Ethan N. Evans Andrew P. Kendall Evangelos A. Theodorou AI4CE 50 11 0 18 Feb 2021
Learning to Utilize Shaping Rewards: A New Approach of Reward Shaping Yujing Hu Weixun Wang Hangtian Jia Yixiang Wang Yingfeng Chen Jianye Hao Feng Wu Changjie Fan OffRL 101 179 0 05 Nov 2020
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards Umer Siddique Paul Weng Matthieu Zimmer FaML OffRL 65 88 0 18 Aug 2020
Fair Algorithms for Multi-Agent Multi-Armed Bandits Safwan Hossain Evi Micha Nisarg Shah FaML 63 49 0 13 Jul 2020
Learning Invariant Representations for Reinforcement Learning without Reconstruction Amy Zhang R. McAllister Roberto Calandra Y. Gal Sergey Levine OOD SSL 164 480 0 18 Jun 2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with Multi-player Bandits Ilai Bistritz Tavor Z. Baharav Amir Leshem Nicholas Bambos FaML 112 37 0 23 Feb 2020
Scalable methods for computing state similarity in deterministic Markov Decision Processes Pablo Samuel Castro 74 138 0 21 Nov 2019
Learning Fairness in Multi-Agent Systems Jiechuan Jiang Zongqing Lu 70 71 0 31 Oct 2019
A Survey on Bias and Fairness in Machine Learning Ninareh Mehrabi Fred Morstatter N. Saxena Kristina Lerman Aram Galstyan SyDa FaML 607 4,429 0 23 Aug 2019
Algorithms for Fairness in Sequential Decision Making Min Wen Osbert Bastani Ufuk Topcu FaML 74 55 0 24 Jan 2019
ChainQueen: A Real-Time Differentiable Physical Simulator for Soft Robotics Yuanming Hu Jiancheng Liu Andrew Spielberg J. Tenenbaum William T. Freeman Jiajun Wu Daniela Rus Wojciech Matusik AI4CE 117 267 0 02 Oct 2018
Learning Optimal Fair Policies Razieh Nabi Daniel Malinsky I. Shpitser FaML 81 87 0 06 Sep 2018
The Social Cost of Strategic Classification S. Milli John Miller Anca Dragan Moritz Hardt 69 184 0 25 Aug 2018
On Learning Intrinsic Rewards for Policy Gradient Methods Zeyu Zheng Junhyuk Oh Satinder Singh 77 209 0 17 Apr 2018
Delayed Impact of Fair Machine Learning Lydia T. Liu Sarah Dean Esther Rolf Max Simchowitz Moritz Hardt FaML 112 478 0 12 Mar 2018
Proximal Policy Optimization Algorithms John Schulman Filip Wolski Prafulla Dhariwal Alec Radford Oleg Klimov OffRL 698 19,363 0 20 Jul 2017
Scalable Co-Optimization of Morphology and Control in Embodied Machines Nick Cheney Josh Bongard Vytas SunSpiral Hod Lipson 94 106 0 19 Jun 2017
Fairness in Reinforcement Learning S. Jabbari Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 79 203 0 09 Nov 2016
Equality of Opportunity in Supervised Learning Moritz Hardt Eric Price Nathan Srebro FaML 236 4,344 0 07 Oct 2016
Fairness in Learning: Classic and Contextual Bandits Matthew Joseph Michael Kearns Jamie Morgenstern Aaron Roth FaML 81 477 0 23 May 2016
Strategic Classification Moritz Hardt N. Megiddo Christos H. Papadimitriou Mary Wootters 118 376 0 23 Jun 2015
Estimating or Propagating Gradients Through Stochastic Neurons for Conditional Computation Yoshua Bengio Nicholas Léonard Aaron Courville 447 3,161 0 15 Aug 2013
Metrics for Finite Markov Decision Processes N. Ferns Prakash Panangaden Doina Precup 84 320 0 11 Jul 2012