Diederik M. Roijers

According to our database, Diederik M. Roijers authored at least 94 papers between 2012 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Exploring the Pareto front of multi-objective COVID-19 mitigation policies using reinforcement learning.

Mathieu Reymond, Conor F. Hayes, Lander Willem, Roxana Radulescu, Steven Abrams, Diederik M. Roijers, Enda Howley, Patrick Mannion, Niel Hens, Ann Nowé, Pieter Libin

Expert Syst. Appl., 2024

MOMAland: A Set of Benchmarks for Multi-Objective Multi-Agent Reinforcement Learning.

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

CoRR, 2024

Deep Multi-Objective Reinforcement Learning for Utility-Based Infrastructural Maintenance Optimization.

Jesse van Remmerden, Maurice Kenter, Diederik M. Roijers, Charalampos Andriotis, Yingqian Zhang, Zaharah Bukhsh

CoRR, 2024

Divide and Conquer: Provably Unveiling the Pareto Front with Multi-Objective Reinforcement Learning.

Willem Röpke, Mathieu Reymond, Patrick Mannion, Diederik M. Roijers, Ann Nowé, Roxana Radulescu

CoRR, 2024

Online Planning in POMDPs with State-Requests.

Raphaël Avalos, Eugenio Bargiacchi, Ann Nowé, Diederik M. Roijers, Frans A. Oliehoek

RLJ, 2024

The Wasserstein Believer: Learning Belief Updates for Partially Observable Environments through Reliable Latent Space Models.

Raphaël Avalos, Florent Delgrange, Ann Nowé, Guillermo A. Pérez, Diederik M. Roijers

Proceedings of the Twelfth International Conference on Learning Representations, 2024

Interactively Learning the User's Utility for Best-Arm Identification in Multi-Objective Multi-Armed Bandits.

Mathieu Reymond, Eugenio Bargiacchi, Diederik M. Roijers, Ann Nowé

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

Utility-Based Reinforcement Learning: Unifying Single-objective and Multi-objective Reinforcement Learning.

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

Proceedings of the 23rd International Conference on Autonomous Agents and Multiagent Systems, 2024

2023

Actor-critic multi-objective reinforcement learning for non-linear utility functions.

Mathieu Reymond, Conor F. Hayes, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé

Auton. Agents Multi Agent Syst., October, 2023

Monte Carlo tree search algorithms for risk-aware and multi-objective reinforcement learning.

Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion

Auton. Agents Multi Agent Syst., October, 2023

Local Advantage Networks for Multi-Agent Reinforcement Learning in Dec-POMDPs.

Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers

Trans. Mach. Learn. Res., 2023

Distributional Multi-Objective Decision Making.

Willem Röpke, Conor F. Hayes, Patrick Mannion, Enda Howley, Ann Nowé, Diederik M. Roijers

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 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

Proceedings of the Thirty-Second International Joint Conference on Artificial Intelligence, 2023

A Study of Nash Equilibria in Multi-Objective Normal-Form Games.

Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Bridging the Gap Between Single and Multi Objective Games.

Willem Röpke, Carla Groenland, Roxana Radulescu, Ann Nowé, Diederik M. Roijers

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

A Brief Guide to Multi-Objective Reinforcement Learning and Planning.

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

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization.

Lucas Nunes Alegre, Ana L. C. Bazzan, Diederik M. Roijers, Ann Nowé, Bruno C. da Silva

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

Scalar Reward is Not Enough.

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

Proceedings of the 2023 International Conference on Autonomous Agents and Multiagent Systems, 2023

2022

Time efficiency in optimization with a bayesian-Evolutionary algorithm.

Gongjin Lan, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben

Swarm Evol. Comput., 2022

Opponent learning awareness and modelling in multi-objective normal form games.

Roxana Radulescu, Timothy Verstraeten, Yijie Zhang, Patrick Mannion, Diederik M. Roijers, Ann Nowé

Neural Comput. Appl., 2022

Determining Accessible Sidewalk Width by Extracting Obstacle Information from Point Clouds.

Cláudia Fonseca Pinhão, Chris Eijgenstein, Iva Gornishka, Shayla Jansen, Diederik M. Roijers, Daan Bloembergen

CoRR, 2022

Multi-Objective Coordination Graphs for the Expected Scalarised Returns with Generative Flow Models.

Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion

CoRR, 2022

Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021).

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

Auton. Agents Multi Agent Syst., 2022

On nash equilibria in normal-form games with vectorial payoffs.

Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu

Auton. Agents Multi Agent Syst., 2022

A practical guide to multi-objective reinforcement learning and planning.

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

Auton. Agents Multi Agent Syst., 2022

Near On-Policy Experience Sampling in Multi-Objective Reinforcement Learning.

Shang Wang, Mathieu Reymond, Athirai A. Irissappane, Diederik M. Roijers

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Decision-Theoretic Planning for the Expected Scalarised Returns.

Conor F. Hayes, Diederik M. Roijers, Enda Howley, Patrick Mannion

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

Local Advantage Networks for Cooperative Multi-Agent Reinforcement Learning.

Raphaël Avalos, Mathieu Reymond, Ann Nowé, Diederik M. Roijers

Proceedings of the 21st International Conference on Autonomous Agents and Multiagent Systems, 2022

2021

Deep Learning-Based Energy Disaggregation and On/Off Detection of Household Appliances.

Jie Jiang, Qiuqiang Kong, Mark D. Plumbley, Nigel Gilbert, Mark Hoogendoorn, Diederik M. Roijers

ACM Trans. Knowl. Discov. Data, 2021

Preference Communication in Multi-Objective Normal-Form Games.

Willem Röpke, Diederik M. Roijers, Ann Nowé, Roxana Radulescu

CoRR, 2021

Expected Scalarised Returns Dominance: A New Solution Concept for Multi-Objective Decision Making.

Conor F. Hayes, Timothy Verstraeten, Diederik M. Roijers, Enda Howley, Patrick Mannion

CoRR, 2021

Risk Aware and Multi-Objective Decision Making with Distributional Monte Carlo Tree Search.

Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion

CoRR, 2021

Learning directed locomotion in modular robots with evolvable morphologies.

Gongjin Lan, Matteo De Carlo, Fuda van Diggelen, Jakub M. Tomczak, Diederik M. Roijers, A. E. Eiben

Appl. Soft Comput., 2021

Scalable Optimization for Wind Farm Control using Coordination Graphs.

Timothy Verstraeten, Pieter-Jan Daems, Eugenio Bargiacchi, Diederik M. Roijers, Pieter J. K. Libin, Jan Helsen

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Distributional Monte Carlo Tree Search for Risk-Aware and Multi-Objective Reinforcement Learning.

Conor F. Hayes, Mathieu Reymond, Diederik M. Roijers, Enda Howley, Patrick Mannion

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

Cooperative Prioritized Sweeping.

Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers

Proceedings of the AAMAS '21: 20th International Conference on Autonomous Agents and Multiagent Systems, 2021

2020

Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning.

Felipe Leno da Silva, Cyntia Eico Hayama Nishida, Diederik M. Roijers, Anna Helena Reali Costa

IEEE Trans. Smart Grid, 2020

Avatars of a Feather Flock Together: Gender Homophily in Online Video Games Revealed via Exponential Random Graph Modeling.

Shiyu Zhang, Sander Bakkes, Diederik M. Roijers, Pieter Spronck

IEEE Trans. Games, 2020

A utility-based analysis of equilibria in multi-objective normal-form games.

Roxana Radulescu, Patrick Mannion, Yijie Zhang, Diederik M. Roijers, Ann Nowé

Knowl. Eng. Rev., 2020

AI-Toolbox: A C++ library for Reinforcement Learning and Planning (with Python Bindings).

Eugenio Bargiacchi, Diederik M. Roijers, Ann Nowé

J. Mach. Learn. Res., 2020

Model-based Multi-Agent Reinforcement Learning with Cooperative Prioritized Sweeping.

Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé

CoRR, 2020

Multi-objective multi-agent decision making: a utility-based analysis and survey.

Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé

Auton. Agents Multi Agent Syst., 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

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

Deep Reinforcement Learning for Solving Train Unit Shunting Problem with Interval Timing.

Wan-Jui Lee, Helia Jamshidi, Diederik M. Roijers

Proceedings of the Dependable Computing - EDCC 2020 Workshops, 2020

Opponent Modelling for Reinforcement Learning in Multi-Objective Normal Form Games.

Yijie Zhang, Roxana Radulescu, Patrick Mannion, Diederik M. Roijers, Ann Nowé

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

Thompson Sampling for Factored Multi-Agent Bandits.

Timothy Verstraeten, Eugenio Bargiacchi, Pieter J. K. Libin, Diederik M. Roijers, Ann Nowé

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

DCRAC: Deep Conditioned Recurrent Actor-Critic for Multi-Objective Partially Observable Environments.

Xiaodong Nian, Athirai Aravazhi Irissappane, Diederik M. Roijers

Proceedings of the 19th International Conference on Autonomous Agents and Multiagent Systems, 2020

2019

Transfer Learning Across Simulated Robots With Different Sensors.

Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé

CoRR, 2019

The Actor-Advisor: Policy Gradient With Off-Policy Advice.

Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé

CoRR, 2019

Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics.

Denis Steckelmacher, Hélène Plisnier, Diederik M. Roijers, Ann Nowé

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2019

Bayesian Anytime m-top Exploration.

Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé

Proceedings of the 31st IEEE International Conference on Tools with Artificial Intelligence, 2019

Dynamic Weights in Multi-Objective Deep Reinforcement Learning.

Axel Abels, Diederik M. Roijers, Tom Lenaerts, Ann Nowé, Denis Steckelmacher

Proceedings of the 36th International Conference on Machine Learning, 2019

Transfer Reinforcement Learning across Environment Dynamics with Multiple Advisors.

Hélène Plisnier, Denis Steckelmacher, Diederik M. Roijers, Ann Nowé

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

Thompson Sampling for m-top Exploration.

Pieter Libin, Timothy Verstraeten, Diederik M. Roijers, Wenjia Wang, Kristof Theys, Ann Nowé

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

A Scalable Logo Recognition Model with Deep Meta-Learning.

Mark de Blaauw, Diederik M. Roijers, Vesa Muhonen

Proceedings of the 31st Benelux Conference on Artificial Intelligence (BNAIC 2019) and the 28th Belgian Dutch Conference on Machine Learning (Benelearn 2019), 2019

2018

Open-Ended Learning: A Conceptual Framework Based on Representational Redescription.

Stéphane Doncieux, David Filliat, Natalia Díaz Rodríguez, Timothy M. Hospedales, Richard J. Duro, Alexandre Coninx, Diederik M. Roijers, Benoît Girard, Nicolas Perrin, Olivier Sigaud

Frontiers Neurorobotics, 2018

Directed Policy Gradient for Safe Reinforcement Learning with Human Advice.

Hélène Plisnier, Denis Steckelmacher, Tim Brys, Diederik M. Roijers, Ann Nowé

CoRR, 2018

Directed Locomotion for Modular Robots with Evolvable Morphologies.

Gongjin Lan, Milan Jelisavcic, Diederik M. Roijers, Evert Haasdijk, A. E. Eiben

Proceedings of the Parallel Problem Solving from Nature - PPSN XV, 2018

Bayesian Best-Arm Identification for Selecting Influenza Mitigation Strategies.

Pieter J. K. Libin, Timothy Verstraeten, Diederik M. Roijers, Jelena Grujic, Kristof Theys, Philippe Lemey, Ann Nowé

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2018

Analysing the Relative Importance of Robot Brains and Bodies.

Milan Jelisavcic, Diederik M. Roijers, A. E. Eiben

Proceedings of the 2018 Conference on Artificial Life, 2018

Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems.

Eugenio Bargiacchi, Timothy Verstraeten, Diederik M. Roijers, Ann Nowé, Hado van Hasselt

Proceedings of the 35th International Conference on Machine Learning, 2018

Predicting Appliance Usage Status In Home Like Environments.

Jie Jiang, Mark Hoogendoorn, Qiuqiang Kong, Diederik M. Roijers, Nigel Gilbert

Proceedings of the 23rd IEEE International Conference on Digital Signal Processing, 2018

Real-Time Robot Vision on Low-Performance Computing Hardware.

Gongjin Lan, Jesús Benito-Picazo, Diederik M. Roijers, Enrique Domínguez, A. E. Eiben

Proceedings of the 15th International Conference on Control, 2018

Deep Multi-agent Reinforcement Learning in a Homogeneous Open Population.

Roxana Radulescu, Manon Legrand, Kyriakos Efthymiadis, Diederik M. Roijers, Ann Nowé

Proceedings of the Artificial Intelligence - 30th Benelux Conference, 2018

Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making.

Luisa M. Zintgraf, Diederik M. Roijers, Sjoerd Linders, Catholijn M. Jonker, Ann Nowé

Proceedings of the 17th International Conference on Autonomous Agents and MultiAgent Systems, 2018

Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs.

Diederik M. Roijers, Erwin Walraven, Matthijs T. J. Spaan

Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 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

Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence, 2018

2017

Multi-Objective Decision Making

Diederik M. Roijers, Shimon Whiteson

Synthesis Lectures on Artificial Intelligence and Machine Learning, Morgan & Claypool Publishers, ISBN: 978-3-031-01576-2, 2017

Reinforcement Learning in POMDPs with Memoryless Options and Option-Observation Initiation Sets.

Denis Steckelmacher, Diederik M. Roijers, Anna Harutyunyan, Peter Vrancx, Ann Nowé

CoRR, 2017

Efficient Evaluation of Influenza Mitigation Strategies Using Preventive Bandits.

Pieter Libin, Timothy Verstraeten, Kristof Theys, Diederik M. Roijers, Peter Vrancx, Ann Nowé

Proceedings of the Autonomous Agents and Multiagent Systems, 2017

Interactive Thompson Sampling for Multi-objective Multi-armed Bandits.

Diederik M. Roijers, Luisa M. Zintgraf, Ann Nowé

Proceedings of the Algorithmic Decision Theory - 5th International Conference, 2017

Multi-criteria Coalition Formation Games.

Ayumi Igarashi, Diederik M. Roijers

Proceedings of the Algorithmic Decision Theory - 5th International Conference, 2017

2016

Multi-Objective Deep Reinforcement Learning.

Hossam Mossalam, Yannis M. Assael, Diederik M. Roijers, Shimon Whiteson

CoRR, 2016

Multi-objective decision-theoretic planning: abstract.

Diederik M. Roijers

AI Matters, 2016

Balancing Relevance Criteria through Multi-Objective Optimization.

Joost van Doorn, Daan Odijk, Diederik M. Roijers, Maarten de Rijke

Proceedings of the 39th International ACM SIGIR conference on Research and Development in Information Retrieval, 2016

Structure in the Value Function of Two-Player Zero-Sum Games of Incomplete Information.

Auke J. Wiggers, Frans A. Oliehoek, Diederik M. Roijers

Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Monte Carlo Tree Search with options for general video game playing.

Maarten de Waard, Diederik M. Roijers, Sander C. J. Bakkes

Proceedings of the IEEE Conference on Computational Intelligence and Games, 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

Proceedings of the Thirtieth AAAI Conference on Artificial Intelligence, 2016

2015

Computing Convex Coverage Sets for Faster Multi-objective Coordination.

Diederik Marijn Roijers, Shimon Whiteson, Frans A. Oliehoek

J. Artif. Intell. Res., 2015

Solving Transition-Independent Multi-agent MDPs with Sparse Interactions (Extended version).

Joris Scharpff, Diederik M. Roijers, Frans A. Oliehoek, Matthijs T. J. Spaan, Mathijs de Weerdt

CoRR, 2015

Point-Based Planning for Multi-Objective POMDPs.

Diederik Marijn Roijers, Shimon Whiteson, Frans A. Oliehoek

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Efficient Methods for Multi-Objective Decision-Theoretic Planning.

Diederik Marijn Roijers

Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence, 2015

Grammar-based Procedural Content Generation from Designer-provided Difficulty Curves.

Mircea Traichioiu, Sander Bakkes, Diederik M. Roijers

Proceedings of the 10th International Conference on the Foundations of Digital Games, 2015

Pareto Local Search for MOMDP Planning.

Chiel Kooijman, Maarten de Waard, Maarten Inja, Diederik M. Roijers, Shimon Whiteson

Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015

2014

Queued Pareto Local Search for Multi-Objective Optimization.

Maarten Inja, Chiel Kooijman, Maarten de Waard, Diederik M. Roijers, Shimon Whiteson

Proceedings of the Parallel Problem Solving from Nature - PPSN XIII, 2014

Circuit-adaptive challenge balancing in racing games.

Alex Rietveld, Sander Bakkes, Diederik M. Roijers

Proceedings of the 2014 IEEE Games Media Entertainment, 2014

Linear support for multi-objective coordination graphs.

Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Convex coverage set methods for multi-objective collaborative decision making.

Diederik M. Roijers

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2014

Bounded Approximations for Linear Multi-Objective Planning Under Uncertainty.

Diederik Marijn Roijers, Joris Scharpff, Matthijs T. J. Spaan, Frans A. Oliehoek, Mathijs de Weerdt, Shimon Whiteson

Proceedings of the Twenty-Fourth International Conference on Automated Planning and Scheduling, 2014

Towards Personalised Gaming via Facial Expression Recognition.

Paris Mavromoustakos Blom, Sander Bakkes, Chek Tien Tan, Shimon Whiteson, Diederik M. Roijers, Roberto Valenti, Theo Gevers

Proceedings of the Tenth AAAI Conference on Artificial Intelligence and Interactive Digital Entertainment, 2014

2013

A Survey of Multi-Objective Sequential Decision-Making.

Diederik M. Roijers, Peter Vamplew, Shimon Whiteson, Richard Dazeley

J. Artif. Intell. Res., 2013

Multi-objective variable elimination for collaborative graphical games.

Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek

Proceedings of the International conference on Autonomous Agents and Multi-Agent Systems, 2013

Computing Convex Coverage Sets for Multi-objective Coordination Graphs.

Diederik M. Roijers, Shimon Whiteson, Frans A. Oliehoek

Proceedings of the Algorithmic Decision Theory - Third International Conference, 2013

2012

Probability estimation and a competence model for rule based e-tutoring systems.

Diederik M. Roijers, Johan Jeuring, Ad Feelders

Proceedings of the Second International Conference on Learning Analytics and Knowledge, 2012