Eugenio Bargiacchi

18 papers A* 1A 6Journal 9Unranked 2

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