Researcher
Eugenio Bargiacchi
- Keywords:Computer science (incl. applied informatics), Electronics and electrical engineering
- Disciplines:Machine learning and decision making, Adaptive agents and intelligent robotics
Affiliations
- MOBI - Electromobility research centre (Research group)
Member
From4 May 2020 → Today - Artificial Intelligence (Research group)
Member
From1 Oct 2017 → Today - Informatics and Applied Informatics (Department)
Member
From1 Nov 2019 → 31 Aug 2023 - Electrical Engineering and Power Electronics (Department)
Member
From8 Apr 2019 → 31 Oct 2019 - Electrical Engineering and Power Electronics (Department)
Member
From15 Mar 2019 → 31 Oct 2019 - Faculty of Sciences and Bioengineering Sciences (Faculty)
Member
From3 Oct 2017 → 15 Jan 2024 - Informatics and Applied Informatics (Department)
Member
From1 Oct 2017 → 31 Dec 2018
Projects
1 - 1 of 1
- Controlling large scale multi-agent environments with model-based reinforcement learningFrom1 Nov 2019 → 1 Sep 2023Funding: FWO fellowships
Publications
1 - 10 of 13
- Controlling large scale multi-agent environments with model-based reinforcement learning(2024)
Authors: Eugenio Bargiacchi, Ann Nowe, Diederik M. Roijers
Number of pages: 150 - A Brief Guide to Multi-Objective Reinforcement Learning and Planning(2023)Series: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMASVolume: 2023-May
Authors: Conor F. Hayes, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Timothy Verstraeten, Luisa Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, et al.
Pages: 1988-1990Number of pages: 3 - Pareto Conditioned Networks(2022)
Authors: Mathieu Reymond, Eugenio Bargiacchi, Ann Nowe
Pages: 1110-1118Number of pages: 9 - Multi-agent RMax for Multi-Agent Multi-Armed Bandits(2022)
Authors: Eugenio Bargiacchi, Raphaël Avalos, Timothy Verstraeten, Pieter Libin, Ann Nowe, Diederik M. Roijers
Pages: 1-6 - Scalable Optimization for Wind Farm Control using Coordination Graphs(2021)Series: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Authors: Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter Libin, Jan Helsen
Pages: 1362-1370Number 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 - Cooperative Prioritized Sweeping(2021)Series: Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS
Authors: Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers
Pages: 160-168Number of pages: 9 - Multi-Agent Thompson Sampling for Bandits with Sparse Neighbourhood Structures(2020)Series: Belgian/Netherlands Artificial Intelligence Conference
Authors: Timothy Verstraeten, Eugenio Bargiacchi, Pieter Libin, Jan Helsen, Diederik M. Roijers, Ann Nowe
Pages: 394-395Number of pages: 2 - AI-toolbox(2020)
Authors: Eugenio Bargiacchi, Diederik Roijers, Ann Nowe
Pages: 1-12 - Multi-Agent Thompson Sampling for Bandit Applications with Sparse Neighbourhood Structures(2020)
Authors: Timothy Verstraeten, Eugenio Bargiacchi, Pieter Libin, Jan Helsen, Diederik M. Roijers, Ann Nowe