Denis Steckelmacher

Pleinlaan 2
1050 Brussels
Belgium

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FWOSBO46: SBO Project: CTRL schemes merged with eXplainable AI for t(h)rustworthy control of physical dynamic systems (CTRLxAI=T(H)RUST)
Nowe, A., Steckelmacher, D., Efthymiadis, K. & Schietgat, L.
1/10/22 → 30/09/26
Project: Applied
FWOTM821: Leveraging environment structure to learn reusable skills for autonomous agents
Nowe, A. & Steckelmacher, D.
1/10/16 → 31/12/20
Project: Fundamental

25 Citations
2 h-index
7 Conference paper
7 Unpublished paper
6 Poster
2 Unpublished abstract
More

Deep learning for biosignal control: insights from basic to real-time methods with recommendations
Dillen, A., Steckelmacher, D., Efthymiadis, K., Langlois, K., De Beir, A., Marusic, U., Vanderborght, B., Nowe, A., Meeusen, R., Ghaffari, F., Romain, O. & De Pauw, K., 28 Feb 2022, In : Journal of Neural Engineering. 19, 1, 011003.
Research output: Contribution to journal › Article

Open Access
File
30 Downloads (Pure)
MoveRL: To A Safer Robotic Reinforcement Learning Environment
Liu, G., De Winter, J., Vanderborght, B., Nowe, A. & Steckelmacher, D., 2022, The 33rd Benelux Conference on Artificial Intelligence and the 30th Belgian Dutch Conference on Machine Learning (BNAIC/BENELEARN 2021): AI in ACTION Joint International Scientific Conferences on AI. Leiva, L. A., Pruski, C., Markovich, R., Najjar, A. & Schommer, C. (eds.). CCIS: Springer, Vol. 1530. p. 239-253 15 p. (Communications in Computer and Information Science; vol. 1530).
Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Open Access
Reviewing machine learning of corrosion prediction in a data-oriented perspective
Coelho, L. B., Zhang, D., Van Ingelgem, Y., Steckelmacher, D., Nowe, A. & Terryn, H., 26 Jan 2022
Research output: Other contribution

2 Citations (Scopus)
Sample-Efficient Reinforcement Learning for Continuous Actions with Continuous BDPI
Steckelmacher, D., Plisnier, H. & Nowe, A., 2021. 6 p.
Research output: Unpublished contribution to conference › Unpublished paper

Open Access
File

85 Downloads (Pure)
Shepherd: Reinforcement Learning as a Service withDistributed Execution
Plisnier, H., Steckelmacher, D. & Nowe, A., 10 Nov 2021, (Unpublished) p. 726-728.
Research output: Unpublished contribution to conference › Unpublished paper

Best Demonstration Award
Denis Steckelmacher (Recipient), Helene Plisnier (Recipient) & Ann Nowe (Recipient), 8 Nov 2019
Prize: Prize (including medals and awards)
BNAIC SKBS Best Demo Award
Denis Steckelmacher (Recipient), Hélène Plisnier (Recipient), Diederik M. Roijers (Recipient) & Ann Nowé (Recipient), 9 Nov 2017
Prize: Prize (including medals and awards)
Fleurice Mercier Prize
Denis Steckelmacher (Recipient), 1 Jul 2012
Prize: Prize (including medals and awards)

10 Participation in conference
6 Talk or presentation at a conference
5 Talk or presentation at a workshop/seminar
3 Participation in workshop, seminar
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Introduction to Reinforcement Learning, its uses and ethical considerations
Denis Steckelmacher (Speaker)
30 Jun 2021
Activity: Talk or presentation › Talk or presentation at a workshop/seminar
Shepherd: Reinforcement Learning as a Service withDistributed Execution
Denis Steckelmacher (Speaker), Helene Plisnier (Contributor), Ann Nowe (Contributor)
10 Nov 2021
Activity: Talk or presentation › Talk or presentation at a conference
Self-Transfer Learning
Helene Plisnier (Speaker), Denis Steckelmacher (Contributor), Ann Nowe (Contributor)
3 May 2021 → 4 May 2021
Activity: Talk or presentation › Talk or presentation at a workshop/seminar
Preliminaries to Reinforcement Learning
Denis Steckelmacher (Lecturer)
27 Mar 2019
Activity: Talk or presentation › Talk or presentation at a workshop/seminar

File
BNAIC 2019
Denis Steckelmacher (Participant)
6 Nov 2019 → 8 Nov 2019
Activity: Participating in or organising an event › Participation in conference

Prime EUC minister Ursula von der Leyen visits the VUB AI Experience Center
Denis Steckelmacher & Helene Plisnier
18/02/20
1 Media contribution
Press/Media: Public Engagement Activities
How the VUB AI Experience Center links AI research done at the VUB with Brussels companies
Denis Steckelmacher
18/02/20
1 Media contribution
Press/Media: Expert Comment
Kan je een computer leren fietsen?
Ann Nowe, Youri Coppens & Denis Steckelmacher
22/03/18
1 Media contribution
Press/Media: Public Engagement Activities

Reinforcement Learning in Complex Environments: Evaluating Algorithms on Image Classification
Author: Steckelmacher, D., 17 Jun 2016
Supervisor: Vrancx, P. (Co-promotor) & Lenaerts, T. (Promotor)
Student thesis: Master's Thesis

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Denis Steckelmacher

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FWOSBO46: SBO Project: CTRL schemes merged with eXplainable AI for t(h)rustworthy control of physical dynamic systems (CTRLxAI=T(H)RUST)

FWOTM821: Leveraging environment structure to learn reusable skills for autonomous agents

Deep learning for biosignal control: insights from basic to real-time methods with recommendations

MoveRL: To A Safer Robotic Reinforcement Learning Environment

Reviewing machine learning of corrosion prediction in a data-oriented perspective

Sample-Efficient Reinforcement Learning for Continuous Actions with Continuous BDPI

Shepherd: Reinforcement Learning as a Service withDistributed Execution

Best Demonstration Award

BNAIC SKBS Best Demo Award

Fleurice Mercier Prize

Introduction to Reinforcement Learning, its uses and ethical considerations

Shepherd: Reinforcement Learning as a Service withDistributed Execution

Self-Transfer Learning

Preliminaries to Reinforcement Learning

BNAIC 2019

Prime EUC minister Ursula von der Leyen visits the VUB AI Experience Center

How the VUB AI Experience Center links AI research done at the VUB with Brussels companies

Kan je een computer leren fietsen?

Reinforcement Learning in Complex Environments: Evaluating Algorithms on Image Classification

Denis Steckelmacher

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Thesis