Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards

18 August 2020

Papers citing "Learning Fair Policies in Multiobjective (Deep) Reinforcement Learning with Average and Discounted Rewards"

46 / 46 papers shown

Title
Remember, but also, Forget: Bridging Myopic and Perfect Recall Fairness with Past-Discounting Ashwin Kumar William Yeoh 28 0 0 01 Apr 2025
Reward Dimension Reduction for Scalable Multi-Objective Reinforcement Learning Giseung Park Y. Sung OffRL 39 0 0 28 Feb 2025
DECAF: Learning to be Fair in Multi-agent Resource Allocation Ashwin Kumar William Yeoh 87 1 0 06 Feb 2025
Fairness Aware Reinforcement Learning via Proximal Policy Optimization Gabriele La Malfa Jie M. Zhang Michael Luck Elizabeth Black 71 0 0 06 Feb 2025
Fairness in Reinforcement Learning with Bisimulation Metrics S. Rezaei-Shoshtari Hanna Yurchyk Scott Fujimoto Doina Precup D. Meger 82 0 0 03 Jan 2025
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance Dimitris Michailidis Willem Röpke D. Roijers Sennay Ghebreab Fernando P. Santos 65 0 0 27 Nov 2024
Fair Resource Allocation in Weakly Coupled Markov Decision Processes Xiaohui Tu Yossiri Adulyasak Nima Akbarzadeh Erick Delage 44 0 0 14 Nov 2024
Policy Aggregation Parand A. Alamdari Soroush Ebadian Ariel D. Procaccia OffRL 24 4 0 06 Nov 2024
How to Find the Exact Pareto Front for Multi-Objective MDPs? Yining Li Peizhong Ju Ness B. Shroff 137 0 0 21 Oct 2024
Learning in Multi-Objective Public Goods Games with Non-Linear Utilities Nicole Orzan Erman Acar Davide Grossi Patrick Mannion Roxana Ruadulescu 13 0 0 01 Aug 2024
The Max-Min Formulation of Multi-Objective Reinforcement Learning: From Theory to a Model-Free Algorithm Giseung Park Woohyeon Byeon Seongmin Kim Elad Havakuk Amir Leshem Youngchul Sung 22 2 0 12 Jun 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 66 3 0 10 Jun 2024
Fairness in Reinforcement Learning: A Survey Anka Reuel Devin Ma OffRL FaML 37 4 0 11 May 2024
UCB-driven Utility Function Search for Multi-objective Reinforcement Learning Yucheng Shi Alexandros Agapitos David Lynch Giorgio Cruciata Cengis Hasan Hao Wang Yayu Yao Aleksandar Milenovic 21 0 0 01 May 2024
Learning Efficient and Fair Policies for Uncertainty-Aware Collaborative Human-Robot Order Picking Igor G. Smit Z. Bukhsh Mykola Pechenizkiy Kostas Alogariastos Kasper Hendriks Yingqian Zhang 36 0 0 09 Apr 2024
Value function interference and greedy action selection in value-based multi-objective reinforcement learning Peter Vamplew Cameron Foale Richard Dazeley 16 2 0 09 Feb 2024
An Empirical Investigation of Value-Based Multi-objective Reinforcement Learning for Stochastic Environments Kewen Ding Peter Vamplew Cameron Foale Richard Dazeley 22 1 0 06 Jan 2024
Promptable Behaviors: Personalizing Multi-Objective Rewards from Human Preferences Minyoung Hwang Luca Weihs Chanwoo Park Kimin Lee Aniruddha Kembhavi Kiana Ehsani 29 18 0 14 Dec 2023
Remembering to Be Fair: Non-Markovian Fairness in Sequential Decision Making P. A. Alamdari Toryn Q. Klassen Elliot Creager Sheila A. McIlraith 13 4 0 08 Dec 2023
FinA: Fairness of Adverse Effects in Decision-Making of Human-Cyber-Physical-System Tian Zhao Salma Elmalaki 27 1 0 06 Nov 2023
Personalized Soups: Personalized Large Language Model Alignment via Post-hoc Parameter Merging Joel Jang Seungone Kim Bill Yuchen Lin Yizhong Wang Jack Hessel Luke Zettlemoyer Hannaneh Hajishirzi Yejin Choi Prithviraj Ammanabrolu MoMe 48 132 0 17 Oct 2023
FAIRO: Fairness-aware Adaptation in Sequential-Decision Making for Human-in-the-Loop Systems Tian Zhao Mojtaba Taherisadr Salma Elmalaki 20 1 0 12 Jul 2023
Fairness in Preference-based Reinforcement Learning Umer Siddique Abhinav Sinha Yongcan Cao 11 4 0 16 Jun 2023
Rewarded soups: towards Pareto-optimal alignment by interpolating weights fine-tuned on diverse rewards Alexandre Ramé Guillaume Couairon Mustafa Shukor Corentin Dancette Jean-Baptiste Gaya Laure Soulier Matthieu Cord MoMe 35 136 0 07 Jun 2023
Achieving Fairness in Multi-Agent Markov Decision Processes Using Reinforcement Learning Peizhong Ju A. Ghosh Ness B. Shroff 30 4 0 01 Jun 2023
Counterfactual Fairness Filter for Fair-Delay Multi-Robot Navigation Hikaru Asano Ryo Yonetani Mai Nishimura Tadashi Kozuno 35 0 0 19 May 2023
Learning Rewards to Optimize Global Performance Metrics in Deep Reinforcement Learning Junqi Qian Paul Weng Chenmien Tan 39 1 0 16 Mar 2023
Latent-Conditioned Policy Gradient for Multi-Objective Deep Reinforcement Learning T. Kanazawa Chetan Gupta 26 0 0 15 Mar 2023
Fair Off-Policy Learning from Observational Data Dennis Frauen Valentyn Melnychuk Stefan Feuerriegel FaML OffRL 17 5 0 15 Mar 2023
UGAE: A Novel Approach to Non-exponential Discounting Ariel Kwiatkowski Vicky Kalogeiton Julien Pettré Marie-Paule Cani OffRL 19 2 0 11 Feb 2023
Tier Balancing: Towards Dynamic Fairness over Underlying Causal Factors Zeyu Tang Yatong Chen Yang Liu Anton van den Hengel 13 8 0 21 Jan 2023
Welfare and Fairness in Multi-objective Reinforcement Learning Zimeng Fan Nianli Peng Muhang Tian Brandon Fain 14 14 0 30 Nov 2022
Policy Optimization with Advantage Regularization for Long-Term Fairness in Decision Systems Eric Yang Yu Zhizhen Qin Min Kyung Lee Sicun Gao OffRL 37 15 0 22 Oct 2022
Socially Fair Reinforcement Learning Debmalya Mandal Jiarui Gan OffRL 25 13 0 26 Aug 2022
What-is and How-to for Fairness in Machine Learning: A Survey, Reflection, and Perspective Zeyu Tang Jiji Zhang Anton van den Hengel FaML 25 26 0 08 Jun 2022
Survey on Fair Reinforcement Learning: Theory and Practice Pratik Gajane A. Saxena M. Tavakol George Fletcher Mykola Pechenizkiy FaML OffRL 35 13 0 20 May 2022
Optimizing generalized Gini indices for fairness in rankings Virginie Do Nicolas Usunier 15 29 0 02 Apr 2022
Towards Return Parity in Markov Decision Processes Jianfeng Chi Jian Shen Xinyi Dai Weinan Zhang Yuan Tian Han Zhao 19 14 0 19 Nov 2021
A Sociotechnical View of Algorithmic Fairness Mateusz Dolata Stefan Feuerriegel Gerhard Schwabe FaML 32 92 0 27 Sep 2021
Recommendation Fairness: From Static to Dynamic De-Fu Zhang Jun Wang OffRL 16 15 0 05 Sep 2021
Cooperative Multi-Agent Fairness and Equivariant Policies Niko A. Grupen B. Selman Daniel D. Lee FaML 11 11 0 10 Jun 2021
An Axiomatic Theory of Provably-Fair Welfare-Centric Machine Learning Cyrus Cousins FaML 13 27 0 29 Apr 2021
A Practical Guide to Multi-Objective Reinforcement Learning and Planning Conor F. Hayes Roxana Ruadulescu Eugenio Bargiacchi Johan Källström Matthew Macfarlane ... Ann Nowé Gabriel de Oliveira Ramos Marcello Restelli Peter Vamplew D. Roijers OffRL 25 325 0 17 Mar 2021
Fairness through Social Welfare Optimization V. Chen J. N. Hooker 24 1 0 30 Jan 2021
Learning Fair Policies in Decentralized Cooperative Multi-Agent Reinforcement Learning Matthieu Zimmer Claire Glanois Umer Siddique Paul Weng OffRL 23 58 0 17 Dec 2020
Same-Day Delivery with Fairness Xinwei Chen Tong Wang Barrett W. Thomas M. Ulmer 42 27 0 19 Jul 2020