Denis Steckelmacher

Pleinlaan 2
1050 Brussels
Belgium

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1 Similar Profiles

1 Finished

FWOTM821: Leveraging environment structure to learn reusable skills for autonomous agents
Nowe, A. & Steckelmacher, D.
1/10/16 → 31/12/20
Project: Fundamental

15 Citations
2 h-Index
7 Conference paper
6 Unpublished paper
5 Poster
2 Unpublished abstract
More

MoveRL: To A Safer Robotic Reinforcement Learning Environment
Liu, G., De Winter, J., Vanderborght, B., Nowe, A. & Steckelmacher, D., 2021, 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.
Research output: Chapter in Book/Report/Conference proceeding › Conference paper
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Research output: Unpublished contribution to conference › Unpublished paper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

42 Downloads (Pure)
Synthesising Reinforcement Learning Policies Through Set-Valued Inductive Rule Learning
Coppens, Y., Steckelmacher, D., Jonker, C. M. & Nowe, A., 13 Apr 2021, Trustworthy AI - Integrating Learning, Optimization and Reasoning: First International Workshop, TAILOR 2020, Virtual Event, September 4–5, 2020, Revised Selected Papers. Heintz, F., Milano, M. & O'Sullivan, B. (eds.). 1 ed. Cham: Springer International Publishing, p. 163-179 17 p. (Lecture Notes in Computer Science; vol. 12641).
Research output: Chapter in Book/Report/Conference proceeding › Conference paper
Model-Free Reinforcement Learning for Real-World Robots
Steckelmacher, D., 6 Nov 2020, Brussels: VUBPRESS. 194 p.
Research output: Thesis › PhD Thesis

Open Access
File
30 Downloads (Pure)
Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics
Steckelmacher, D., Plisnier, H., Roijers, D. & Nowe, A., 2020, Lecture Notes in Artificial Intelligence: Machine Learning and Knowledge Discovery in Databases (ECML-PKDD proceedings), volume III. Brefeld, U., Fromont, E., Hotho, A., Knobbe, A., Maathuis, M. & Robardet, C. (eds.). Springer, Vol. 11908. p. 19-34 16 p. 48. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11908 LNAI).
Research output: Chapter in Book/Report/Conference proceeding › Conference paper

Open Access
1 Citation (Scopus)

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
5 Talk or presentation at a conference
4 Talk or presentation at a workshop/seminar
3 Participation in workshop, seminar
More

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
BNAIC 2019
Denis Steckelmacher (Participant)
6 Nov 2019 → 8 Nov 2019
Activity: Participating in or organising an event › Participation in conference
International Conference in Machine Learning 2019 (Event)
Denis Steckelmacher (Peer reviewer)
20 Jan 2019 → 31 Mar 2019
Activity: Publication peer-review and editorial work › Publication peer-review
European Conference on Machine Learning 2019
Denis Steckelmacher (Participant), Helene Plisnier (Participant)
16 Sep 2019 → 20 Sep 2019
Activity: Participating in or organising an event › Participation in conference
Learning and Planning in Partially-Observable MDPs
Denis Steckelmacher (Speaker)
22 Feb 2019
Activity: Talk or presentation › Talk at an external academic organisation

File

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

MoveRL: To A Safer Robotic Reinforcement Learning Environment

Sample-Efficient Reinforcement Learning for Continuous Actions with Continuous BDPI

Synthesising Reinforcement Learning Policies Through Set-Valued Inductive Rule Learning

Model-Free Reinforcement Learning for Real-World Robots

Sample-Efficient Model-Free Reinforcement Learning with Off-Policy Critics

Best Demonstration Award

BNAIC SKBS Best Demo Award

Fleurice Mercier Prize

Introduction to Reinforcement Learning, its uses and ethical considerations

BNAIC 2019

International Conference in Machine Learning 2019 (Event)

European Conference on Machine Learning 2019

Learning and Planning in Partially-Observable MDPs

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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