Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning

11 April 2022

Papers citing "Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning"

5 / 5 papers shown

Title
Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance Dimitris Michailidis Willem Röpke D. Roijers Sennay Ghebreab Fernando P. Santos 75 0 0 27 Nov 2024
Evaluating COVID-19 vaccine allocation policies using Bayesian $m$ -top exploration Alexandra Cimpean T. Verstraeten L. Willem N. Hens Ann Nowé Pieter J. K. Libin 21 2 0 30 Jan 2023
Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning Conor F. Hayes Mathieu Reymond D. Roijers Enda Howley Patrick Mannion 24 4 0 23 Nov 2022
Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models Conor F. Hayes T. Verstraeten D. Roijers Enda Howley Patrick Mannion 32 3 0 01 Jul 2022
Reinforcement Learning for Optimization of COVID-19 Mitigation policies Varun Kompella Roberto Capobianco Stacy Jong Jonathan Browne S. Fox L. Meyers Peter R. Wurman Peter Stone 75 47 0 20 Oct 2020