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ORCIDErwin Walraven
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- affiliation (PhD 2019): Delft University of Technology, Netherlands
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2020 – today
- 2025
[j6]Erwin Walraven, Joris Sijs, Gertjan J. Burghouts:
Information gathering in POMDPs using active inference. Auton. Agents Multi Agent Syst. 39(1): 3 (2025)- 2024
- [i2]Gertjan J. Burghouts, Fieke Hillerström, Erwin Walraven, Michael van Bekkum, Frank Ruis, Joris Sijs, Jelle van Mil, Judith Dijk:
Open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols. CoRR abs/2407.13382 (2024) - 2023
- [j5]Walter Lohman
, Hans Cornelissen, Jeroen Borst, Ralph Klerkx, Yashar Araghi, Erwin Walraven:
Building digital twins of cities using the Inter Model Broker framework. Future Gener. Comput. Syst. 148: 501-513 (2023) - [c8]Erwin Walraven, Ajaya Adhikari, Cor J. Veenman:
PERFEX: Classifier Performance Explanations for Trustworthy AI Systems. xAI (2) 2023: 164-180 - 2022
- [i1]Erwin Walraven, Ajaya Adhikari, Cor J. Veenman:
PERFEX: Classifier Performance Explanations for Trustworthy AI Systems. CoRR abs/2212.06045 (2022) - 2021
- [j4]Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms. J. Artif. Intell. Res. 70: 955-1001 (2021)
2010 – 2019
- 2019
- [b1]E. M. P. Walraven:
Planning under Uncertainty in Constrained and Partially Observable Environments. Delft University of Technology, Netherlands, 2019 - [j3]Erwin Walraven, Matthijs T. J. Spaan:
Point-Based Value Iteration for Finite-Horizon POMDPs. J. Artif. Intell. Res. 65: 307-341 (2019) - 2018
- [j2]Erwin Walraven, Matthijs T. J. Spaan:
Column Generation Algorithms for Constrained POMDPs. J. Artif. Intell. Res. 62: 489-533 (2018) - [c7]Diederik M. Roijers, Erwin Walraven, Matthijs T. J. Spaan:
Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs. ICAPS 2018: 218-226 - 2017
- [c6]Frits de Nijs, Erwin Walraven, Mathijs Michiel de Weerdt, Matthijs T. J. Spaan:
Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs. AAAI 2017: 3562-3568 - [c5]Erwin Walraven, Matthijs T. J. Spaan:
Accelerated Vector Pruning for Optimal POMDP Solvers. AAAI 2017: 3672-3678 - 2016
- [j1]Erwin Walraven, Matthijs T. J. Spaan, Bram Bakker:
Traffic flow optimization: A reinforcement learning approach. Eng. Appl. Artif. Intell. 52: 203-212 (2016) - [c4]Erwin Walraven, Matthijs T. J. Spaan:
Planning under Uncertainty for Aggregated Electric Vehicle Charging Using Markov Decision Processes. AAAI Workshop: AI for Smart Grids and Smart Buildings 2016 - [c3]Erwin Walraven, Matthijs T. J. Spaan:
Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply. ECAI 2016: 904-912 - 2015
- [c2]Erwin Walraven, Matthijs T. J. Spaan:
Planning Under Uncertainty with Weighted State Scenarios. AAAI Fall Symposia 2015: 93-94 - [c1]Erwin Walraven, Matthijs T. J. Spaan:
Planning under Uncertainty with Weighted State Scenarios. UAI 2015: 912-921
Coauthor Index
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