Diederik M. Roijers

124 papers A* 9A 25B 2C 3Journal 66Unranked 18

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Generalized policy improvement for efficient and robust multi-objective reinforcement learning. Auton. Agents Multi Agent Syst. Lucas N. Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2026	J	`jnl`	Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance. J. Artif. Intell. Res. Dimitris Michailidis, Willem Röpke, Diederik M. Roijers, Sennay Ghebreab, Fernando P. Santos
2025	J	`jnl`	Deep multi-objective reinforcement learning for utility-based infrastructural maintenance optimization. Neural Comput. Appl. Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers, Charalampos Andriotis, Yingqian Zhang, Zaharah Bukhsh
2025	A	`conf`	Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning. AAMAS Willem Röpke, Mathieu Reymond, Patrick Mannion, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2025	J	`jnl`	Expected scalarised returns dominance: a new solution concept for multi-objective decision making. Neural Comput. Appl. Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
2025	J	`jnl`	Preference communication in multi-objective normal-form games. Neural Comput. Appl. Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2024	J	`jnl`	Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization. CoRR Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers, Charalampos Andriotis, Yingqian Zhang, Zaharah Bukhsh
2024	J	`jnl`	Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning. CoRR Willem Röpke, Mathieu Reymond, Patrick Mannion, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2024	J	`jnl`	Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. Expert Syst. Appl. Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
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`	MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning. CoRR Florian Felten, Umut Ucak, Hicham Azmani, Gao Peng, Willem Röpke, Hendrik Baier, Patrick Mannion, Diederik M. Roijers, Jordan K. Terry, El-Ghazali Talbi, Grégoire Danoy, Ann Nowé, Roxana Radulescu
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
2024	J	`jnl`	Scalable Multi-Objective Reinforcement Learning with Fairness Guarantees using Lorenz Dominance. CoRR Dimitris Michailidis, Willem Röpke, Diederik M. Roijers, Sennay Ghebreab, Fernando P. Santos
2024	A*	`conf`	The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. ICLR Raphaël Avalos, Florent Delgrange, Ann Nowé, Guillermo A. Pérez, Diederik M. Roijers
2024	A	`conf`	Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. AAMAS Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers
2024	J	`jnl`	Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning. CoRR Peter Vamplew, Cameron Foale, Conor F. Hayes, Patrick Mannion, Enda Howley, Richard Dazeley, Scott Johnson, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Willem Röpke, Diederik M. Roijers
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
2023	A	`conf`	A Study of Nash Equilibria in Multi-Objective Normal-Form Games. AAMAS Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2023	J	`jnl`	Actor-critic multi-objective reinforcement learning for non-linear utility functions. Auton. Agents Multi Agent Syst. Mathieu Reymond, Conor F. Hayes, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
2023	A	`conf`	Bridging the Gap Between Single and Multi Objective Games. AAMAS Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	Bridging the Gap Between Single and Multi Objective Games. CoRR Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers
2023	A*	`conf`	Distributional Multi-Objective Decision Making. IJCAI Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	Distributional Multi-Objective Decision Making. CoRR Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs. Trans. Mach. Learn. Res. Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers
2023	J	`jnl`	Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning. Auton. Agents Multi Agent Syst. Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
2023	A	`conf`	Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. AAMAS Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2023	J	`jnl`	Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization. CoRR Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva
2023	A	`conf`	Scalar Reward is Not Enough. AAMAS Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Friedrik Hentz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale
2023	J	`jnl`	The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models. CoRR Raphaël Avalos, Florent Delgrange, Ann Nowé, Guillermo A. Pérez, Diederik M. Roijers
2023	A*	`conf`	What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization. IJCAI Zuzanna Osika, Jazmin Zatarain Salazar, Diederik M. Roijers, Frans A. Oliehoek, Pradeep K. Murukannaiah
2023	J	`jnl`	What Lies beyond the Pareto Front? A Survey on Decision-Support Methods for Multi-Objective Optimization. CoRR Zuzanna Osika, Jazmin Zatarain Salazar, Diederik M. Roijers, Frans A. Oliehoek, Pradeep K. Murukannaiah
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`	Decision-Theoretic Planning for the Expected Scalarised Returns. AAMAS Conor F. Hayes, Diederik M. Roijers, Enda Howley, Patrick Mannion
2022	J	`jnl`	Determining Accessible Sidewalk Width by Extracting Obstacle Information from Point Clouds. CoRR Cláudia Fonseca Pinhão, Chris Eijgenstein, Iva Gornishka, Shayla Jansen, Diederik M. Roijers, Daan Bloembergen
2022	J	`jnl`	Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning. CoRR Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin
2022	A	`conf`	Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning. AAMAS Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers
2022	J	`jnl`	Monte Carlo Tree Search Algorithms for Risk-Aware and Multi-Objective Reinforcement Learning. CoRR Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
2022	J	`jnl`	Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models. CoRR Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
2022	A	`conf`	Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning. AAMAS Shang Wang, Mathieu Reymond, Athirai A. Irissappane, Diederik M. Roijers
2022	J	`jnl`	On nash equilibria in normal-form games with vectorial payoffs. Auton. Agents Multi Agent Syst. Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2022	J	`jnl`	Opponent learning awareness and modelling in multi-objective normal form games. Neural Comput. Appl. Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2022	J	`jnl`	Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021). Auton. Agents Multi Agent Syst. Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale
2022	J	`jnl`	Time efficiency in optimization with a bayesian-Evolutionary algorithm. Swarm Evol. Comput. Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben
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	J	`jnl`	Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances. ACM Trans. Knowl. Discov. Data Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert, Mark Hoogendoorn, Diederik M. Roijers
2021	A	`conf`	Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning. AAMAS Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
2021	J	`jnl`	Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making. CoRR Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion
2021	J	`jnl`	Learning directed locomotion in modular robots with evolvable morphologies. Appl. Soft Comput. Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben
2021	J	`jnl`	Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning. CoRR Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers
2021	J	`jnl`	On Nash Equilibria in Normal-Form Games With Vectorial Payoffs. CoRR Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2021	J	`jnl`	Preference Communication in Multi-Objective Normal-Form Games. CoRR Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu
2021	J	`jnl`	Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search. CoRR Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion
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
2021	J	`jnl`	Scalar reward is not enough: A response to Silver, Singh, Precup and Sutton (2021). CoRR Peter Vamplew, Benjamin J. Smith, Johan Källström, Gabriel de Oliveira Ramos, Roxana Radulescu, Diederik M. Roijers, Conor F. Hayes, Fredrik Heintz, Patrick Mannion, Pieter J. K. Libin, Richard Dazeley, Cameron Foale
2020	J	`jnl`	A utility-based analysis of equilibria in multi-objective normal form games. CoRR Roxana Radulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	A utility-based analysis of equilibria in multi-objective normal-form games. Knowl. Eng. Rev. Roxana Radulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé
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	J	`jnl`	Avatars of a Feather Flock Together: Gender Homophily in Online Video Games Revealed via Exponential Random Graph Modeling. IEEE Trans. Games Shiyu Zhang, Sander Bakkes, Diederik M. Roijers, Pieter Spronck
2020	J	`jnl`	Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning. IEEE Trans. Smart Grid Felipe Leno da Silva, Cyntia Eico Hayama Nishida, Diederik M. Roijers, Anna Helena Reali Costa
2020	A	`conf`	DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments. AAMAS Xiaodong Nian, Athirai Aravazhi Irissappane, Diederik M. Roijers
2020	—	`conf`	Deep Reinforcement Learning for Solving Train Unit Shunting Problem with Interval Timing. EDCC Workshops Wan-Jui Lee, Helia Jamshidi, Diederik M. Roijers
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`	Learning Directed Locomotion in Modular Robots with Evolvable Morphologies. CoRR Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben
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`	Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey. AAMAS Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	Multi-objective multi-agent decision making: a utility-based analysis and survey. Auton. Agents Multi Agent Syst. Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	J	`jnl`	Opponent Learning Awareness and Modelling in Multi-Objective Normal Form Games. CoRR Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2020	A	`conf`	Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games. AAMAS Yijie Zhang, Roxana Radulescu, Patrick Mannion, 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
2020	J	`jnl`	Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm. CoRR Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben
2019	—	`conf`	A Scalable Logo Recognition Model with Deep Meta-Learning. BNAIC/BENELEARN Mark de Blaauw, Diederik M. Roijers, Vesa Muhonen
2019	B	`conf`	Bayesian Anytime m-top Exploration. ICTAI Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé
2019	A*	`conf`	Dynamic Weights in Multi-Objective Deep Reinforcement Learning. ICML Axel Abels, Diederik M. Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher
2019	J	`jnl`	Multi-Objective Multi-Agent Decision Making: A Utility-based Analysis and Survey. CoRR Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé
2019	—	`conf`	Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. BNAIC/BENELEARN Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé
2019	—	`conf`	Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. ECML/PKDD (3) Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé
2019	J	`jnl`	Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics. CoRR Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé
2019	J	`jnl`	The Actor-Advisor: Policy Gradient With Off-Policy Advice. CoRR Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, 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
2019	—	`conf`	Thompson Sampling for m-top Exploration. BNAIC/BENELEARN Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé
2019	J	`jnl`	Transfer Learning Across Simulated Robots With Different Sensors. CoRR Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
2019	—	`conf`	Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors. BNAIC/BENELEARN Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé
2018	C	`conf`	Analysing the Relative Importance of Robot Brains and Bodies. ALIFE Milan Jelisavcic, Diederik M. Roijers, A. E. Eiben
2018	—	`conf`	Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies. ECML/PKDD (3) Pieter J. K. Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé
2018	A*	`conf`	Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs. ICAPS Diederik M. Roijers, Erwin Walraven, Matthijs T. J. Spaan
2018	—	`conf`	Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population. BNCAI Roxana Radulescu, Manon Legrand, Kyriakos Efthymiadis, Diederik M. Roijers, Ann Nowé
2018	—	`conf`	Directed Locomotion for Modular Robots with Evolvable Morphologies. PPSN (1) Gongjin Lan, Milan Jelisavcic, Diederik M. Roijers, Evert Haasdijk, A. E. Eiben
2018	J	`jnl`	Directed Policy Gradient for Safe Reinforcement Learning with Human Advice. CoRR Hélène Plisnier, Denis Steckelmacher, Tim Brys, Diederik M. Roijers, Ann Nowé
2018	J	`jnl`	Dynamic Weights in Multi-Objective Deep Reinforcement Learning. CoRR Axel Abels, Diederik M. Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher
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
2018	J	`jnl`	Open-Ended Learning: A Conceptual Framework Based on Representational Redescription. Frontiers Neurorobotics Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud
2018	A	`conf`	Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making. AAMAS Luisa M. Zintgraf, Diederik M. Roijers, Sjoerd Linders, Catholijn M. Jonker, Ann Nowé
2018	J	`jnl`	Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making. CoRR Luisa M. Zintgraf, Diederik M. Roijers, Sjoerd Linders, Catholijn M. Jonker, Ann Nowé
2018	—	`conf`	Predicting Appliance Usage Status In Home Like Environments. DSP Jie Jiang, Mark Hoogendoorn, Qiuqiang Kong, Diederik M. Roijers, Nigel Gilbert
2018	C	`conf`	Real-Time Robot Vision on Low-Performance Computing Hardware. ICARCV Gongjin Lan, Jesús Benito-Picazo, Diederik M. Roijers, Enrique Domínguez, A. E. Eiben
2018	A*	`conf`	Reinforcement Learning in POMDPs With Memoryless Options and Option-Observation Initiation Sets. AAAI Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Hélène Plisnier, Ann Nowé
2017	J	`jnl`	Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies. CoRR Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé
2017	—	`conf`	Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits. AAMAS Workshops (Visionary Papers) Pieter Libin, Timothy Verstraeten, Kristof Theys, Diederik M. Roijers, Peter Vrancx, Ann Nowé
2017	—	`conf`	Interactive Thompson Sampling for Multi-objective Multi-armed Bandits. ADT Diederik M. Roijers, Luisa M. Zintgraf, Ann Nowé
2017	—	`book`	Multi-Objective Decision Making Diederik M. Roijers, Shimon Whiteson
2017	—	`conf`	Multi-criteria Coalition Formation Games. ADT Ayumi Igarashi, Diederik M. Roijers
2017	J	`jnl`	Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets. CoRR Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Ann Nowé
2016	A*	`conf`	Balancing Relevance Criteria through Multi-Objective Optimization. SIGIR Joost van Doorn, Daan Odijk, Diederik M. Roijers, Maarten de Rijke
2016	—	`conf`	Monte Carlo Tree Search with options for general video game playing. CIG Maarten de Waard, Diederik M. Roijers, Sander C. J. Bakkes
2016	J	`jnl`	Multi-Objective Deep Reinforcement Learning. CoRR Hossam Mossalam, Yannis M. Assael, Diederik M. Roijers, Shimon Whiteson
2016	J	`jnl`	Multi-objective decision-theoretic planning: abstract. AI Matters Diederik M. Roijers
2016	A*	`conf`	Solving Transition-Independent Multi-Agent MDPs with Sparse Interactions. AAAI Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs Michiel de Weerdt
2016	A	`conf`	Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information. ECAI Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers
2016	J	`jnl`	Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information. CoRR Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers
2015	C	`conf`	Grammar-based Procedural Content Generation from Designer-provided Difficulty Curves. FDG Mircea Traichioiu, Sander Bakkes, Diederik M. Roijers
2015	B	`conf`	Pareto Local Search for MOMDP Planning. ESANN Chiel Kooijman, Maarten de Waard, Maarten Inja, Diederik M. Roijers, Shimon Whiteson
2015	J	`jnl`	Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version). CoRR Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs de Weerdt
2014	—	`conf`	Circuit-adaptive challenge balancing in racing games. GEM Alex Rietveld, Sander Bakkes, Diederik M. Roijers
2014	A	`conf`	Convex coverage set methods for multi-objective collaborative decision making. AAMAS Diederik M. Roijers
2014	A	`conf`	Linear support for multi-objective coordination graphs. AAMAS Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek
2014	A	`conf`	Queued Pareto Local Search for Multi-Objective Optimization. PPSN Maarten Inja, Chiel Kooijman, Maarten de Waard, Diederik M. Roijers, Shimon Whiteson
2014	—	`conf`	Towards Personalised Gaming via Facial Expression Recognition. AIIDE Paris Mavromoustakos Blom, Sander Bakkes, Chek Tien Tan, Shimon Whiteson, Diederik M. Roijers, Roberto Valenti, Theo Gevers
2013	J	`jnl`	A Survey of Multi-Objective Sequential Decision-Making. J. Artif. Intell. Res. Diederik M. Roijers, Peter Vamplew, Shimon Whiteson, Richard Dazeley
2013	—	`conf`	Computing Convex Coverage Sets for Multi-objective Coordination Graphs. ADT Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek
2013	A	`conf`	Multi-objective variable elimination for collaborative graphical games. AAMAS Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek
2012	A	`conf`	Probability estimation and a competence model for rule based e-tutoring systems. LAK Diederik M. Roijers, Johan Jeuring, Ad Feelders