Sotabase

Career

· Researcher And Business Developer - Team New Economy, Gemeente Amsterdam, Innovatie2025–
· Business Developer And Fundraiser, Gemeente Amsterdam, Innovatie2024–2025
· Academic Liaison For Artificial Intelligence Research, Gemeente Amsterdam, Innovatie2022–2024
· Senior Researcher, Vrije Universiteit Brussel2020–
· Senior Lecturer Technical Computer Science Senior Researcher AI, HU University of Applied Sciences Utrecht (Hogeschool Utrecht)2019–2022
· Assistant Professor, Vrije Universiteit Amsterdam (VU Amsterdam)2018–2019
· Postdoctoral Fellowship, Research Foundation Flanders - FWO2016–2018
· Postdoctoral Researcher, University of Oxford2016–2016
· PHD Candidate And Lecturer, University of Amsterdam2012–2016
· Senior Lecturer - Business IT And Management, HU University of Applied Sciences Utrecht (Hogeschool Utrecht)2008–2012
· Doctor of Philosophy - PhD, PhD in Artificial Intelligence, University of Amsterdam
· Master of Science - MS, Applied Computing Science (Numerical Artificial Intelligence) cum laude, Utrecht University

Publications (129)

A Survey of Multi-Objective Sequential Decision-Making
Journal of Artificial Intelligence Research · 2013
742
cited
A practical guide to multi-objective reinforcement learning and planning
Autonomous Agents and Multi-Agent Systems · 2021
448
cited
Dynamic Weights in Multi-Objective Deep Reinforcement Learning
International Conference on Machine Learning · 2018
190
cited
Multi-Objective Deep Reinforcement Learning
arXiv.org · 2016
172
cited
Multi-objective multi-agent decision making: a utility-based analysis and survey
Autonomous Agents and Multi-Agent Systems · 2019
172
cited
Multi-Objective Decision Making
Synthesis Lectures on Artificial Intelligence and Machine Learning · 2017
109
cited
Coordination of Electric Vehicle Charging Through Multiagent Reinforcement Learning
IEEE Transactions on Smart Grid · 2020
104
cited
Time Efficiency in Optimization with a Bayesian-Evolutionary Algorithm
Swarm and Evolutionary Computation · 2020
95
cited
Towards Personalised Gaming via Facial Expression Recognition
Artificial Intelligence and Interactive Digital Entertainment Conference · 2014
82
cited
Open-Ended Learning: A Conceptual Framework Based on Representational Redescription
Front. Neurorobot. · 2018
79
cited
Scalar reward is not enough: a response to Silver, Singh, Precup and Sutton (2021)
Autonomous Agents and Multi-Agent Systems · 2021
78
cited
Computing Convex Coverage Sets for Faster Multi-objective Coordination
Journal of Artificial Intelligence Research · 2015
53
cited
Learning Directed Locomotion in Modular Robots with Evolvable Morphologies
Applied Soft Computing · 2020
53
cited
Ordered Preference Elicitation Strategies for Supporting Multi-Objective Decision Making
Adaptive Agents and Multi-Agent Systems · 2018
51
cited
Multi-objective Reinforcement Learning for the Expected Utility of the Return
2020
50
cited
Sample-Efficient Multi-Objective Learning via Generalized Policy Improvement Prioritization
Adaptive Agents and Multi-Agent Systems · 2023
48
cited
Quality Assessment of MORL Algorithms: A Utility-Based Approach
2015
44
cited
Linear support for multi-objective coordination graphs
Adaptive Agents and Multi-Agent Systems · 2014
43
cited
Learning to Coordinate with Coordination Graphs in Repeated Single-Stage Multi-Agent Decision Problems
International Conference on Machine Learning · 2018
40
cited
Point-Based Planning for Multi-Objective POMDPs
International Joint Conference on Artificial Intelligence · 2015
39
cited
Sotabase