Roijers, Diederik M

11 publications

ICLR 2024 The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments Through Reliable Latent Space Models Raphaël Avalos, Florent Delgrange, Ann Nowe, Guillermo Perez, Diederik M Roijers

IJCAI 2023 Distributional Multi-Objective Decision Making Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers

TMLR 2023 Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs Raphaël Avalos, Mathieu Reymond, Ann Nowe, Diederik M Roijers

IJCAI 2023 What Lies Beyond the Pareto Front? a Survey on Decision-Support Methods for Multi-Objective Optimization Zuzanna Osika, Jazmin Zatarain Salazar, Diederik M. Roijers, Frans A. Oliehoek, Pradeep K. Murukannaiah

NeurIPSW 2022 Training Graph Neural Networks with Policy Gradients to Perform Tree Search Matthew Macfarlane, Diederik M Roijers, Herke van Hoof

MLOSS 2020 AI-Toolbox: A C++ Library for Reinforcement Learning and Planning (with Python Bindings) Eugenio Bargiacchi, Diederik M. Roijers, Ann Nowé

ECML-PKDD 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

ECML-PKDD 2019 Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé

AAAI 2018 Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé

AAAI 2016 Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt

JAIR 2013 A Survey of Multi-Objective Sequential Decision-Making Diederik M. Roijers, Peter Vamplew, Shimon Whiteson, Richard Dazeley