Papers
Communities
Events
Blog
Pricing
Search
Open menu
Home
Papers
2412.17123
Cited By
v1
v2 (latest)
Fairness in Reinforcement Learning with Bisimulation Metrics
3 January 2025
S. Rezaei-Shoshtari
Hanna Yurchyk
Scott Fujimoto
Doina Precup
David Meger
Re-assign community
ArXiv (abs)
PDF
HTML
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
5
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
1