Fairness in Reinforcement Learning

9 November 2016

Papers citing "Fairness in Reinforcement Learning"

50 / 51 papers shown

Title
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup David Meger 90 0 0 03 Jan 2025
Fair Resource Allocation in Weakly Coupled Markov Decision Processes Xiaohui Tu Yossiri Adulyasak Nima Akbarzadeh Erick Delage 49 0 0 14 Nov 2024
Long-Term Fairness in Sequential Multi-Agent Selection with Positive Reinforcement Bhagyashree Puranik Ozgur Guldogan Upamanyu Madhow Ramtin Pedarsani 45 0 0 10 Jul 2024
Long-Term Fairness Inquiries and Pursuits in Machine Learning: A Survey of Notions, Methods, and Challenges Usman Gohar Zeyu Tang Jialu Wang Kun Zhang Peter Spirtes Yang Liu Lu Cheng FaML 73 3 0 10 Jun 2024
Fairness in Reinforcement Learning: A Survey Anka Reuel Devin Ma OffRL FaML 51 4 0 11 May 2024
Striking a Balance in Fairness for Dynamic Systems Through Reinforcement Learning Yaowei Hu Jacob Lear Lu Zhang FaML 31 2 0 12 Jan 2024
Designing Long-term Group Fair Policies in Dynamical Systems Miriam Rateike Isabel Valera Patrick Forré 45 4 0 21 Nov 2023
Trading-off price for data quality to achieve fair online allocation M. Molina Nicolas Gast P. Loiseau Vianney Perchet 37 4 0 23 Jun 2023
Fairness in Preference-based Reinforcement Learning Umer Siddique Abhinav Sinha Yongcan Cao 24 4 0 16 Jun 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 30 6 0 15 Mar 2023
Improving Fairness in Adaptive Social Exergames via Shapley Bandits Robert C. Gray Jennifer Villareale T. Fox Diane H Dallal Santiago Ontañón D. Arigo S. Jabbari Jichen Zhu 21 4 0 18 Feb 2023
Multi-dimensional discrimination in Law and Machine Learning -- A comparative overview Arjun Roy J. Horstmann Eirini Ntoutsi FaML 26 20 0 12 Feb 2023
Welfare and Fairness in Multi-objective Reinforcement Learning Zimeng Fan Nianli Peng Muhang Tian Brandon Fain 30 15 0 30 Nov 2022
Reinforcement Learning with Stepwise Fairness Constraints Zhun Deng He Sun Zhiwei Steven Wu Linjun Zhang David C. Parkes FaML OffRL 43 11 0 08 Nov 2022
Trustworthy Reinforcement Learning Against Intrinsic Vulnerabilities: Robustness, Safety, and Generalizability Mengdi Xu Zuxin Liu Peide Huang Wenhao Ding Zhepeng Cen Yue Liu Ding Zhao 81 46 0 16 Sep 2022
Socially Fair Reinforcement Learning Debmalya Mandal Jiarui Gan OffRL 30 13 0 26 Aug 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 49 13 0 20 May 2022
Achieving Long-Term Fairness in Sequential Decision Making Yaowei Hu Lu Zhang 31 21 0 04 Apr 2022
Offsetting Unequal Competition through RL-assisted Incentive Schemes Paramita Koley Aurghya Maiti Sourangshu Bhattacharya Niloy Ganguly 38 1 0 05 Jan 2022
Fairer LP-based Online Allocation via Analytic Center Guanting Chen Xiaocheng Li Yinyu Ye FaML 23 8 0 27 Oct 2021
Fair Sequential Selection Using Supervised Learning Models Mohammad Mahdi Khalili Xueru Zhang Mahed Abroshan FaML 36 20 0 26 Oct 2021
Statistical discrimination in learning agents Edgar A. Duénez-Guzmán Kevin R. McKee Yiran Mao Ben Coppin Silvia Chiappa ... Yoram Bachrach Suzanne Sadedin William S. Isaac K. Tuyls Joel Z Leibo 47 7 0 21 Oct 2021
GrowSpace: Learning How to Shape Plants Yasmeen Hitti Ionelia Buzatu Manuel Del Verme M. Lefsrud Florian Golemo A. Durand 26 2 0 15 Oct 2021
Fairness Through Counterfactual Utilities Jack Blandin Ian A. Kash FaML 43 2 0 11 Aug 2021
A Simple Reward-free Approach to Constrained Reinforcement Learning Sobhan Miryoosefi Chi Jin 18 29 0 12 Jul 2021
Cooperative Multi-Agent Fairness and Equivariant Policies Niko A. Grupen B. Selman Daniel D. Lee FaML 24 11 0 10 Jun 2021
Addressing the Long-term Impact of ML Decisions via Policy Regret David Lindner Hoda Heidari Andreas Krause OffRL 27 6 0 02 Jun 2021
Snowflake: Scaling GNNs to High-Dimensional Continuous Control via Parameter Freezing Charlie Blake Vitaly Kurin Maximilian Igl Shimon Whiteson AI4CE 23 13 0 01 Mar 2021
Evaluating Fairness of Machine Learning Models Under Uncertain and Incomplete Information Pranjal Awasthi Alex Beutel Matthaeus Kleindessner Jamie Morgenstern Xuezhi Wang FaML 54 56 0 16 Feb 2021
Fairness through Social Welfare Optimization V. Chen J. N. Hooker 24 2 0 30 Jan 2021
Fairness with Continuous Optimal Transport Silvia Chiappa Aldo Pacchiano OT 45 12 0 06 Jan 2021
Achieving User-Side Fairness in Contextual Bandits Wen Huang Kevin Labille Xintao Wu Dongwon Lee Neil T. Heffernan FaML 87 18 0 22 Oct 2020
Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards Umer Siddique Paul Weng Matthieu Zimmer FaML OffRL 22 84 0 18 Aug 2020
Fairness-Aware Online Personalization G. R. Lal S. Geyik K. Kenthapadi FaML 16 3 0 30 Jul 2020
Same-Day Delivery with Fairness Xinwei Chen Tong Wang Barrett W. Thomas M. Ulmer 42 28 0 19 Jul 2020
Fair Bayesian Optimization Valerio Perrone Michele Donini Muhammad Bilal Zafar Robin Schmucker K. Kenthapadi Cédric Archambeau FaML 27 84 0 09 Jun 2020
Algorithmic Fairness Dana Pessach E. Shmueli FaML 33 387 0 21 Jan 2020
Fairness in Learning-Based Sequential Decision Algorithms: A Survey Xueru Zhang M. Liu FaML 48 51 0 14 Jan 2020
Fair Active Learning Hadis Anahideh Abolfazl Asudeh Saravanan Thirumuruganathan FaML 46 52 0 06 Jan 2020
Optimal Training of Fair Predictive Models Razieh Nabi Daniel Malinsky I. Shpitser 32 13 0 09 Oct 2019
Causal Modeling for Fairness in Dynamical Systems Elliot Creager David Madras T. Pitassi R. Zemel 29 67 0 18 Sep 2019
The Price of Local Fairness in Multistage Selection V. Emelianov G. Arvanitakis Nicolas Gast Krishna P. Gummadi P. Loiseau 36 18 0 15 Jun 2019
Fairness-Aware Ranking in Search & Recommendation Systems with Application to LinkedIn Talent Search S. Geyik Stuart Ambler K. Kenthapadi 26 377 0 30 Apr 2019
Eliminating Latent Discrimination: Train Then Mask Soheil Ghili Ehsan Kazemi Amin Karbasi FaML 27 9 0 12 Nov 2018
How Do Fairness Definitions Fare? Examining Public Attitudes Towards Algorithmic Definitions of Fairness N. Saxena Karen Huang Evan DeFilippis Goran Radanović David C. Parkes Yang Liu FaML 27 175 0 08 Nov 2018
Policy Certificates: Towards Accountable Reinforcement Learning Christoph Dann Ashutosh Adhikari Wei Wei Jimmy J. Lin OffRL 25 141 0 07 Nov 2018
Learning Optimal Fair Policies Razieh Nabi Daniel Malinsky I. Shpitser FaML 22 86 0 06 Sep 2018
Downstream Effects of Affirmative Action Sampath Kannan Aaron Roth Juba Ziani 24 87 0 27 Aug 2018
Fairness Without Demographics in Repeated Loss Minimization Tatsunori B. Hashimoto Megha Srivastava Hongseok Namkoong Percy Liang FaML 31 575 0 20 Jun 2018
Online Learning with an Unknown Fairness Metric Stephen Gillen Christopher Jung Michael Kearns Aaron Roth FaML 37 143 0 20 Feb 2018