Eugenio Bargiacchi

According to our database, Eugenio Bargiacchi authored at least 11 papers between 2018 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

A Brief Guide to Multi-Objective Reinforcement Learning and Planning.

Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

A practical guide to multi-objective reinforcement learning and planning.

Conor F. Hayes, Roxana Radulescu, Eugenio Bargiacchi, Johan Källström, Matthew Macfarlane, Mathieu Reymond, Timothy Verstraeten, Luisa M. Zintgraf, Richard Dazeley, Fredrik Heintz, Enda Howley, Athirai A. Irissappane, Patrick Mannion, Ann Nowé, Gabriel de Oliveira Ramos, Marcello Restelli, Peter Vamplew, Diederik M. Roijers

Auton. Agents Multi Agent Syst., 2022

Pareto Conditioned Networks.

Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Scalable Optimization for Wind Farm Control using Coordination Graphs.

Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Cooperative Prioritized Sweeping.

Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings).

Eugenio Bargiacchi, Diederik M. Roijers, Ann Nowé

J. Mach. Learn. Res., 2020

Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping.

Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé

CoRR, 2020

Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models.

Diederik M. Roijers, Luisa M. Zintgraf, Pieter Libin, Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Thompson Sampling for Factored Multi-Agent Bandits.

Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

A Virtual Maze Game to Explain Reinforcement Learning.

Youri Coppens, Eugenio Bargiacchi, Ann Nowé

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems.

Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé, Hado van Hasselt

Proceedings of the 35th International Conference on Machine Learning, 2018