Eugenio Bargiacchi

Publication Activity (10 Years)

Years Active: 2018-2024
Publications (10 Years): 17

Top Topics

Multi Armed Bandits

Deterministic Domains

Reinforcement Learning

Top Venues

BNAIC/BENELEARN

Auton. Agents Multi Agent Syst.

Publications

Mathieu Reymond, Eugenio Bargiacchi, Diederik M. Roijers, Ann Nowé
Interactively Learning the User's Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits. AAMAS (2024)
Raphaël Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M. Roijers, Frans A. Oliehoek
Online Planning in POMDPs with State-Requests. CoRR (2024)
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
A Brief Guide to Multi-Objective Reinforcement Learning and Planning. AAMAS (2023)
Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé
Pareto Conditioned Networks. AAMAS (2022)
Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé
Pareto Conditioned Networks. CoRR (2022)
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
A practical guide to multi-objective reinforcement learning and planning. Auton. Agents Multi Agent Syst. 36 (1) (2022)
Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen
Scalable Optimization for Wind Farm Control using Coordination Graphs. CoRR (2021)
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
A Practical Guide to Multi-Objective Reinforcement Learning and Planning. CoRR (2021)
Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen
Scalable Optimization for Wind Farm Control using Coordination Graphs. AAMAS (2021)
Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers
Cooperative Prioritized Sweeping. AAMAS (2021)
Eugenio Bargiacchi, Diederik M. Roijers, Ann Nowé
AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings). J. Mach. Learn. Res. 21 (2020)
Diederik M. Roijers, Luisa M. Zintgraf, Pieter Libin, Mathieu Reymond, Eugenio Bargiacchi, Ann Nowé
Interactive Multi-objective Reinforcement Learning in Multi-armed Bandits with Gaussian Process Utility Models. ECML/PKDD (3) (2020)
Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé
Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping. CoRR (2020)
Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé
Thompson Sampling for Factored Multi-Agent Bandits. AAMAS (2020)
Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé
Thompson Sampling for Factored Multi-Agent Bandits. CoRR (2019)
Youri Coppens, Eugenio Bargiacchi, Ann Nowé
A Virtual Maze Game to Explain Reinforcement Learning. BNAIC/BENELEARN (2019)
Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé, Hado van Hasselt
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems. ICML (2018)