Erwin Walraven

Affiliations:
  • Delft University of Technology, Netherlands (PhD 2019)


According to our database1, Erwin Walraven authored at least 13 papers between 2015 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
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Links

Online presence:

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Bibliography

2023
Building digital twins of cities using the Inter Model Broker framework.
Future Gener. Comput. Syst., November, 2023

PERFEX: Classifier Performance Explanations for Trustworthy AI Systems.
Proceedings of the Explainable Artificial Intelligence, 2023

2021
Constrained Multiagent Markov Decision Processes: a Taxonomy of Problems and Algorithms.
J. Artif. Intell. Res., 2021

2019
Planning under Uncertainty in Constrained and Partially Observable Environments.
PhD thesis, 2019

Point-Based Value Iteration for Finite-Horizon POMDPs.
J. Artif. Intell. Res., 2019

2018
Column Generation Algorithms for Constrained POMDPs.
J. Artif. Intell. Res., 2018

Bootstrapping LPs in Value Iteration for Multi-Objective and Partially Observable MDPs.
Proceedings of the Twenty-Eighth International Conference on Automated Planning and Scheduling, 2018

2017
Accelerated Vector Pruning for Optimal POMDP Solvers.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

Bounding the Probability of Resource Constraint Violations in Multi-Agent MDPs.
Proceedings of the Thirty-First AAAI Conference on Artificial Intelligence, 2017

2016
Traffic flow optimization: A reinforcement learning approach.
Eng. Appl. Artif. Intell., 2016

Planning Under Uncertainty for Aggregated Electric Vehicle Charging with Renewable Energy Supply.
Proceedings of the ECAI 2016 - 22nd European Conference on Artificial Intelligence, 29 August-2 September 2016, The Hague, The Netherlands, 2016

Planning under Uncertainty for Aggregated Electric Vehicle Charging Using Markov Decision Processes.
Proceedings of the AI for Smart Grids and Smart Buildings, 2016

2015
Planning under Uncertainty with Weighted State Scenarios.
Proceedings of the Thirty-First Conference on Uncertainty in Artificial Intelligence, 2015


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