Marijn S. van Knippenberg

ing.

Doctoral Candidate, Department of Mathematics and Computer Science, Data Mining
Department of Mathematics and Computer Science, Interconnected Resource-aware Intelligent Systems

Emailm.s.v.knippenberg@tue.nl

Source: Scopus

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1 Citations
2 Conference contribution
1 Paper

Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning
van Knippenberg, M. S., Holenderski, M. J. & Menkovski, V., 19 Dec 2021, (Submitted).
Research output: Contribution to conference › Paper
Complex Vehicle Routing with Memory Augmented Neural Networks
Van Knippenberg, M., Holenderski, M. & Menkovski, V., 10 Jun 2020, Proceedings - 2020 IEEE Conference on Industrial Cyberphysical Systems, ICPS 2020. Institute of Electrical and Electronics Engineers, p. 303-308 6 p. 9274782
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
Evolutionary construction of convolutional neural networks
van Knippenberg, M. S., Menkovski, V. & Consoli, S., Feb 2019, Machine Learning, Optimization, and Data Science - 4th International Conference, LOD 2018, Revised Selected Papers. Nicosia, G., Giuffrida, G., Nicosia, G., Pardalos, P., Sciacca, V. & Umeton, R. (eds.). Cham: Springer, p. 293-304 12 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11331 LNCS).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Academic › peer-review
1 Citation (Scopus)

5 Downloads (Pure)

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1/09/15 → …
Course

Evaluating a multi-armed bandit-based approach to hyperparameter optimization
Author: van Knippenberg, M., 26 Mar 2018
Supervisor: Vanschoren, J. (Supervisor 1) & Ura, A. (External person) (External coach)
Student thesis: Master

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Time-Constrained Multi-Agent Path Finding in Non-Lattice Graphs with Deep Reinforcement Learning

Complex Vehicle Routing with Memory Augmented Neural Networks

Evolutionary construction of convolutional neural networks

Internet of things

Evaluating a multi-armed bandit-based approach to hyperparameter optimization