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Researcher
Mathieu Reymond
- Keywords:Computer science (incl. applied informatics)
- Disciplines:Machine learning and decision making
Affiliations
- Artificial Intelligence (Research group)
Member
From1 Nov 2017 → Today - Informatics and Applied Informatics (Department)
Member
From1 Dec 2023 → Today - Informatics and Applied Informatics (Department)
Member
From1 Nov 2021 → 31 Oct 2023 - Informatics and Applied Informatics (Department)
Member
From8 Apr 2019 → 31 Oct 2021 - Informatics and Applied Informatics (Department)
Member
From1 Nov 2017 → 20 Oct 2022 - Faculty of Sciences and Bioengineering Sciences (Faculty)
Member
From28 Sep 2017 → 30 Aug 2023 - Faculty of Sciences and Bioengineering Sciences (Faculty)
Member
From10 Mar 2015 → 14 Sep 2017
Publications
1 - 8 of 8
- WAE-PCN: Wasserstein-autoencoded Pareto Conditioned Networks(2023)Edition: 15Volume: https://alaworkshop2023.github.io/
Authors: Florent Delgrange, Mathieu Reymond, Ann Nowe, Guillermo A. PĂ©rez
Pages: 1-7Number of pages: 7 - Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning(2022)Series: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Authors: Shang Wang, Mathieu Reymond, Athirai A. Irissappane, Diederik M. Roijers
Pages: 1756-1758Number of pages: 3 - Pareto Conditioned Networks(2022)
Authors: Mathieu Reymond, Eugenio Bargiacchi, Ann Nowe
Pages: 1110-1118Number of pages: 9 - Interactive Multi-Objective Reinforcement Learning in Multi-Armed Bandits with Gaussian Process Utility Models(2021)
Authors: Diederik M. Roijers, Luisa Zintgraf, Pieter Libin, Mathieu Reymond, Eugenio Bargiacchi, Ann Nowe
Number of pages: 16 - Pareto-DQN: Approximating the Pareto front in complex multi-objective decision problems(2019)
Authors: Mathieu Reymond, Ann Nowe
Number of pages: 6 - Reinforcement Learning for Demand Response of Domestic Household Appliances(2018)
Authors: Mathieu Reymond, Christophe Patyn, Roxana Radulescu, Ann Nowe, Geert Deconinck
Pages: 18-25 - Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs
Authors: Mathieu Reymond, Diederik M. Roijers
Pages: 1-17 - Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement LearningSeries: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Authors: Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
Pages: 1518-1520Number of pages: 3