FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT

30 March 2021

Papers citing "FaiR-IoT: Fairness-aware Human-in-the-Loop Reinforcement Learning for Harnessing Human Variability in Personalized IoT"

7 / 7 papers shown

Title
Fair Resource Allocation in Weakly Coupled Markov Decision Processes Xiaohui Tu Yossiri Adulyasak Nima Akbarzadeh Erick Delage 39 0 0 14 Nov 2024
Fairness in Reinforcement Learning: A Survey Anka Reuel Devin Ma OffRL FaML 34 4 0 11 May 2024
The Pursuit of Fairness in Artificial Intelligence Models: A Survey Tahsin Alamgir Kheya Mohamed Reda Bouadjenek Sunil Aryal 28 8 0 26 Mar 2024
Improving the Efficiency of Human-in-the-Loop Systems: Adding Artificial to Human Experts Johannes Jakubik Daniel Weber Patrick Hemmer Michael Vossing G. Satzger 21 2 0 06 Jul 2023
adaPARL: Adaptive Privacy-Aware Reinforcement Learning for Sequential-Decision Making Human-in-the-Loop Systems Mojtaba Taherisadr S. Stavroulakis Salma Elmalaki 16 15 0 07 Mar 2023
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
VindiCo: Privacy Safeguard Against Adaptation Based Spyware in Human-in-the-Loop IoT Salma Elmalaki Bo-Jhang Ho M. Alzantot Yasser Shoukry Mani B. Srivastava 11 2 0 03 Feb 2022