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Mathijs de Weerdt
Full Professor, Software Technology, Delft University of Technology
Joined
July 2019
Names
Mathijs de Weerdt
(Preferred)
,
Mathijs Weerdt
,
Mathijs Michiel de Weerdt
,
Mathijs De Weerdt
Emails
****@tudelft.nl
(Confirmed)
Personal Links
Homepage
Google Scholar
DBLP
ORCID
LinkedIn
Semantic Scholar
Career & Education History
Full Professor
Software Technology,
Delft University of Technology
(tudelft.nl)
2022
–
Present
Associate Professor
Software Technology,
Delft University of Technology
(tudelft.nl)
2014
–
2022
Advisors, Relations & Conflicts
co-worker
Devin Wild Thomas
2023
–
2024
Expertise
multi-agent planning
Present
scheduling algorithms
Present
dynamic programming
Present
Publications
Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks
Joery A. de Vries
,
Jinke He
,
Mathijs de Weerdt
,
Matthijs T. J. Spaan
RLC 2025
Readers:
Everyone
Moving Trains Like Pebbles: a Feasibility Study on Tree Yards
Issa Hanou
,
Mathijs de Weerdt
,
Jesse Mulderij
International Conference on Automated Planning and Scheduling
Readers:
Everyone
Bayesian Meta-Reinforcement Learning with Laplace Variational Recurrent Networks
Joery A. de Vries
,
Jinke He
,
Mathijs de Weerdt
,
Matthijs T. J. Spaan
EWRL17
Readers:
Everyone
You Shall Pass: Dealing with the Zero-Gradient Problem in Predict and Optimize for Convex Optimization
Grigorii Veviurko
,
Wendelin Boehmer
,
Mathijs de Weerdt
Differentiable Almost Everything
Readers:
Everyone
To the Max: Reinventing Reward in Reinforcement Learning
Grigorii Veviurko
,
Wendelin Boehmer
,
Mathijs de Weerdt
ICML 2024 Poster
Readers:
Everyone
Replanning in Advance for Instant Delay Recovery in Multi-Agent Applications: Rerouting Trains in a Railway Hub
Issa Hanou
,
Devin Wild Thomas
,
Wheeler Ruml
,
Mathijs de Weerdt
ICAPS 2024
Readers:
Everyone
Surrogate DC Microgrid Models for Optimization of Charging Electric Vehicles under Partial Observability
Grigorii Veviurko
,
Wendelin Boehmer
,
Laurens Mackay
,
Mathijs de Weerdt
12 May 2023
OpenReview Archive Direct Upload
Readers:
Everyone
Necessary and Sufficient Conditions for Optimal Decision Trees using Dynamic Programming
Jacobus G.M. van der Linden
,
Mathijs de Weerdt
,
Emir Demirović
NeurIPS 2023 poster
Readers:
Everyone
You Shall not Pass: the Zero-Gradient Problem in Predict and Optimize for Convex Optimization
Grigorii Veviurko
,
Wendelin Boehmer
,
Mathijs de Weerdt
Submitted to NeurIPS 2023
Readers:
Everyone
Fair and Optimal Decision Trees: A Dynamic Programming Approach
Jacobus G.M. van der Linden
,
Mathijs Weerdt
,
Emir Demirović
Published: 31 Oct 2022, Last Modified: 12 Jan 2023
NeurIPS 2022 Accept
Readers:
Everyone
View all 119 publications
Co-Authors
Alejandro Torreño
André Bos
Annibale Panichella
Arman Noroozian
Arthur Guijt
Behnam Jalilzadeh
Bob Huisman
Brad Clement
Burak Yildiz
Catholijn M. Jonker
Cees Witteveen
Cynthia C. S. Liem
Denise Tönissen
Devin Wild Thomas
Diederik M. Roijers
Diederik Marijn Roijers
Dmytro Tykhonov
Emir Demirović
Enrico H. Gerding
Erwin Walraven
Eva Onaindia
F. Jordan Srour
Faith Jordan Srour
Ferdi Grootenboers
Frans A. Oliehoek
View all 108 co-authors