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Fairness in Reinforcement Learning with Bisimulation Metrics
v1v2 (latest)

Fairness in Reinforcement Learning with Bisimulation Metrics

3 January 2025
S. Rezaei-Shoshtari
Hanna Yurchyk
Scott Fujimoto
Doina Precup
David Meger
ArXiv (abs)PDFHTML

Papers citing "Fairness in Reinforcement Learning with Bisimulation Metrics"

37 / 37 papers shown
Title
What Hides behind Unfairness? Exploring Dynamics Fairness in
  Reinforcement Learning
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
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
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
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
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
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
Fair Off-Policy Learning from Observational Data
Dennis Frauen
Valentyn Melnychuk
Stefan Feuerriegel
FaMLOffRL
70
6
0
15 Mar 2023
Fairness and Sequential Decision Making: Limits, Lessons, and
  Opportunities
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
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
Socially Fair Reinforcement Learning
Debmalya Mandal
Jiarui Gan
OffRL
82
13
0
26 Aug 2022
Bisimulation Makes Analogies in Goal-Conditioned Reinforcement Learning
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
Achieving Long-Term Fairness in Sequential Decision Making
Yaowei Hu
Lu Zhang
72
22
0
04 Apr 2022
Towards Robust Bisimulation Metric Learning
Towards Robust Bisimulation Metric Learning
Mete Kemertas
Tristan Aumentado-Armstrong
OffRL
77
48
0
27 Oct 2021
Heuristic-Guided Reinforcement Learning
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
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
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
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards
Umer Siddique
Paul Weng
Matthieu Zimmer
FaMLOffRL
65
88
0
18 Aug 2020
Fair Algorithms for Multi-Agent Multi-Armed Bandits
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
Learning Invariant Representations for Reinforcement Learning without Reconstruction
Amy Zhang
R. McAllister
Roberto Calandra
Y. Gal
Sergey Levine
OODSSL
164
480
0
18 Jun 2020
My Fair Bandit: Distributed Learning of Max-Min Fairness with
  Multi-player Bandits
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
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
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
A Survey on Bias and Fairness in Machine Learning
Ninareh Mehrabi
Fred Morstatter
N. Saxena
Kristina Lerman
Aram Galstyan
SyDaFaML
607
4,429
0
23 Aug 2019
Algorithms for Fairness in Sequential Decision Making
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
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
Learning Optimal Fair Policies
Razieh Nabi
Daniel Malinsky
I. Shpitser
FaML
81
87
0
06 Sep 2018
The Social Cost of Strategic Classification
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
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
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
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
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
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
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
Fairness in Learning: Classic and Contextual Bandits
Matthew Joseph
Michael Kearns
Jamie Morgenstern
Aaron Roth
FaML
81
477
0
23 May 2016
Strategic Classification
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
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
Metrics for Finite Markov Decision Processes
N. Ferns
Prakash Panangaden
Doina Precup
84
320
0
11 Jul 2012
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