Diederik M. Roijers

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	All	Since 2016
Citations	1099	951
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Nowe AnnGewoon hoogleraarVerified email at vub.be
Shimon WhitesonProfessor of Computer Science, University of Oxford / Head of Research, Waymo UKVerified email at cs.ox.ac.uk
Frans A. OliehoekAssociate Professor at Delft University of TechnologyVerified email at tudelft.nl
Timothy VerstraetenDoctoral Researcher in Computer Science, Vrije Universiteit BrusselVerified email at vub.ac.be
Denis SteckelmacherVrije Universiteit BrusselVerified email at ai.vub.ac.be
Roxana RădulescuPhD candidate, Vrije Universiteit BrusselVerified email at vub.be
Peter VamplewAssociate Professor, Information Technology, Federation University AustraliaVerified email at federation.edu.au
Richard DazeleyAssociate Professor, School of Information Technology, Deakin UniversityVerified email at deakin.edu.au
Sander BakkesAssistant Professor, Utrecht UniversityVerified email at uu.nl
Luisa M ZintgrafUniversity of OxfordVerified email at cs.ox.ac.uk
Eugenio BargiacchiVrije Universiteit BrusselVerified email at ai.vub.ac.be
Matthijs T. J. SpaanDelft University of TechnologyVerified email at tudelft.nl
Joris ScharpffDelft University of TechnologyVerified email at tudelft.nl
Patrick MannionLecturer in Computer Science, National University of Ireland GalwayVerified email at nuigalway.ie
A.E. EibenProfessor of Computational Intelligence, Vrije Universiteit AmsterdamVerified email at vu.nl
Mathijs de WeerdtAssociate Professor of Computer Science, Delft University of TechnologyVerified email at tudelft.nl
Pieter LibinPostdoctoral researcher, Hasselt UniversityVerified email at uhasselt.be
Gongjin LanVU University AmsterdamVerified email at vu.nl
Kristof TheysKU LeuvenVerified email at kuleuven.be
Theo GeversComputer Vision Lab, University of Amsterdam (UvA); 3DUniversum; SightcorpVerified email at uva.nl

Diederik M. Roijers

Vrije Universiteit Brussel (VUB) & HU University of Applied Sciences Utrecht

Verified email at ai.vub.ac.be - Homepage

Multiple Objectives Reinforcement Learning Decision-Theoretic Planning Multi-agent Systems Graphical Models


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
A Survey of Multi-Objective Sequential Decision-Making DM Roijers, P Vamplew, S Whiteson, R Dazeley Journal of Artificial Intelligence Research, 2013	351	2013
Towards Personalised Gaming via Facial Expression Recognition PM Blom, S Bakkes, CT Tan, S Whiteson, DM Roijers, R Valenti, T Gevers Proceedings of Tenth AAAI Conference on Artificial Intelligence and …, 2014	61	2014
Multi-objective deep reinforcement learning H Mossalam, YM Assael, DM Roijers, S Whiteson NIPS 2016 workshop on Deep Reinforcement Learning, 2016	53	2016
Multi-Objective Decision Making DM Roijers, S Whiteson Synthesis Lectures on Artificial Intelligence and Machine Learning 11 (1), 1-129, 2017	35	2017
Bounded approximations for linear multi-objective planning under uncertainty DM Roijers, J Scharpff, MT Spaan, FA Oliehoek, M de Weerdt, S Whiteson ICAPS, 2014	33	2014
Open-ended learning: a conceptual framework based on representational redescription S Doncieux, D Filliat, N Díaz-Rodríguez, T Hospedales, R Duro, A Coninx, ... Frontiers in neurorobotics 12, 59, 2018	31	2018
Computing convex coverage sets for faster multi-objective coordination DM Roijers, S Whiteson, FA Oliehoek Journal of Artificial Intelligence Research 52, 399-443, 2015	31	2015
Point-Based Planning for Multi-Objective POMDPs DM Roijers, S Whiteson, FA Oliehoek IJCAI, 2015	30	2015
Linear Support for Multi-Objective Coordination Graphs DM Roijers, S Whiteson, FA Oliehoek Proc. of the 2014 Autonomous Agents and Multi-Agent Systems conference, 2014	29	2014
Solving transition-independent multi-agent MDPs with sparse interactions J Scharpff, D Roijers, F Oliehoek, M Spaan, M de Weerdt Proceedings of the AAAI Conference on Artificial Intelligence 30 (1), 2016	27	2016
Computing Convex Coverage Sets for Multi-Objective Coordination Graphs DM Roijers, S Whiteson, FA Oliehoek ADT 2013: Proceedings of the Third International Conference on Algorithmic …, 2013	27	2013
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making LM Zintgraf, DM Roijers, S Linders, CM Jonker, A Nowé AAMAS, 2018	24	2018
Dynamic Weights in Multi-Objective Deep Reinforcement Learning A Abels, DM Roijers, T Lenaerts, A Nowé, D Steckelmacher ICML, 2019	22	2019
Queued Pareto Local Search for Multi-Objective Optimization M Inja, C Kooijman, M de Waard, DM Roijers, S Whiteson PPSN 2014, 2014	21	2014
Directed Locomotion for Modular Robots with Evolvable Morphologies G Lan, M Jelisavcic, DM Roijers, E Haasdijk, AE Eiben PPSN, 2018	17	2018
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems E Bargiacchi, T Verstraeten, DM Roijers, A Nowé, H Hasselt International Conference on Machine Learning, 491-499, 2018	15	2018
Monte carlo tree search with options for general video game playing M De Waard, DM Roijers, SCJ Bakkes 2016 IEEE Conference on Computational Intelligence and Games (CIG), 1-8, 2016	15	2016
Quality Assessment of MORL Algorithms: A Utility-Based Approach LM Zintgraf, TV Kanters, DM Roijers, FA Oliehoek, P Beau BENELEARN, 2015	14	2015
Multi-objective multi-agent decision making: a utility-based analysis and survey R Rădulescu, P Mannion, DM Roijers, A Nowé Autonomous Agents and Multi-Agent Systems 34 (1), 1-52, 2020	13	2020
Multi-objective decision-theoretic planning DM Roijers University of Amsterdam, 2016	13	2016

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