Traffic flow optimization: A reinforcement learning approach E Walraven, MTJ Spaan, B Bakker Engineering Applications of Artificial Intelligence 52, 203-212, 2016 | 205 | 2016 |
Accelerated Vector Pruning for Optimal POMDP Solvers E Walraven, MTJ Spaan Proceedings of the 31st AAAI Conference on Artificial Intelligence, 3672-3678, 2017 | 58 | 2017 |
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms F de Nijs, E Walraven, M De Weerdt, M Spaan Journal of Artificial Intelligence Research 70, 955-1001, 2021 | 37 | 2021 |
Point-Based Value Iteration for Finite-Horizon POMDPs E Walraven, MTJ Spaan Journal of Artificial Intelligence Research 65, 307-341, 2019 | 31 | 2019 |
Column Generation Algorithms for Constrained POMDPs E Walraven, MTJ Spaan Journal of Artificial Intelligence Research 62, 489-533, 2018 | 31 | 2018 |
Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs F de Nijs, E Walraven, MM de Weerdt, MTJ Spaan Proceedings of the 31st AAAI Conference on Artificial Intelligence, 3562-3568, 2017 | 28 | 2017 |
Building digital twins of cities using the Inter Model Broker framework W Lohman, H Cornelissen, J Borst, R Klerkx, Y Araghi, E Walraven Future Generation Computer Systems 148, 501-513, 2023 | 24 | 2023 |
Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply E Walraven, MTJ Spaan Proceedings of the 22nd European Conference on Artificial Intelligence, 904-912, 2016 | 14 | 2016 |
Traffic Flow Optimization using Reinforcement Learning E Walraven Proceedings of the 26th Benelux Conference on Artificial Intelligence, 211-212, 2014 | 7 | 2014 |
Planning under Uncertainty with Weighted State Scenarios E Walraven, MTJ Spaan Proceedings of the 31st Conference on Uncertainty in Artificial Intelligence …, 2015 | 5 | 2015 |
Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs DM Roijers, E Walraven, MTJ Spaan Proceedings of the 28th International Conference on Automated Planning and …, 2018 | 4 | 2018 |
A Scenario State Representation for Scheduling Deferrable Loads under Wind Uncertainty E Walraven, MTJ Spaan Multiagent Sequential Decision Making Under Uncertainty, 2015 | 4 | 2015 |
PERFEX: Classifier Performance Explanations for Trustworthy AI Systems E Walraven, A Adhikari, CJ Veenman World Conference on Explainable Artificial Intelligence, 164-180, 2023 | 2 | 2023 |
Anomaly Detection in an Open World by a Neuro-symbolic Program on Zero-shot Symbols GJ Burghouts, F Hillerström, E Walraven, M van Bekkum, F Ruis, J Sijs IROS 2022 Workshop Probabilistic Robotics in the Age of Deep Learning, 2022 | 2 | 2022 |
Planning under Uncertainty in Constrained and Partially Observable Environments E Walraven Delft University of Technology, 2019 | 2 | 2019 |
Planning under Uncertainty for Aggregated Electric Vehicle Charging using Markov Decision Processes E Walraven, MTJ Spaan International Workshop on Artificial Intelligence for Smart Grids and Smart …, 2016 | 2 | 2016 |
Simultaneous modelling of access, egress & transit line choice for public transport M van der Tuin, H Zhou, E Walraven Transportation Research Procedia 72, 3793-3800, 2023 | 1 | 2023 |
Information gathering in POMDPs using active inference E Walraven, J Sijs, GJ Burghouts Autonomous Agents and Multi-Agent Systems 39 (1), 1-22, 2025 | | 2025 |
Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols G Burghouts, F Hillerström, E Walraven, M van Bekkum, F Ruis, J Sijs, ... arXiv preprint arXiv:2407.13382, 2024 | | 2024 |
The Dial-a-Ride problem with meeting points: A problem formulation for shared demand–responsive transit L Cortenbach, K Gkiotsalitis, E van Berkum, E Walraven Transportation Research Part C: Emerging Technologies 169, 104831, 2024 | | 2024 |