Skip to main navigation
Skip to search
Skip to main content
Vrije Universiteit Brussel Home
Help & FAQ
English
Nederlands
Home
Research units
Profiles
Projects
Research output
Activities
Equipment
Prizes
Press/Media
Student theses
Datasets
Impacts
Search by expertise, name or affiliation
Artificial Intelligence
Vrije Universiteit Brussel
Research Council
Phone
+32-2-6293729, +32-2-6293700
Email
Luc.Steels@vub.ac.be
Website
http://arti.vub.ac.be
Postal address
Pleinlaan 2
1050
Brussels
Belgium
Overview
Fingerprint
Network
Profiles
(75)
Projects
(106)
Research output
(1153)
Activities
(317)
Equipment
(1)
Datasets
(16)
Research output
Research output per year
1970
2002
2019
2020
2021
2022
2023
2024
7395
Citations
44
h-index
368
Conference paper
297
Article
176
Other report
102
Chapter
210
More
32
Meeting abstract (Book)
32
Poster
30
PhD Thesis
23
Unpublished paper
16
Other contribution
15
Unpublished abstract
15
Editorial
13
Book
4
Book/Film/Article review
4
Software
3
Foreword/postscript
3
Comment/debate
3
Special issue
3
Preprint
2
Commissioned report
2
Meeting abstract (Journal)
2
Other scientific journal contribution
2
Working paper
1
Other
1
Annotation
1
Scientific review
1
Short survey
1
Featured article
1
Digital or Visual Products
Research output per year
Research output per year
3 results
Publication Year, Title
(descending)
Publication Year, Title
(ascending)
Title
Type
Filter
Preprint
Search results
2022
Safe reinforcement learning for multi-energy management systems with known constraint functions.
Ceusters, G.
,
Camargo, L. R.
,
Franke, R.
,
Nowé, A.
&
Messagie, M.
,
8 Jul 2022
,
ArXiv
.
Research output
:
Working paper
›
Preprint
Open Access
Energy management systems
100%
Reinforcement learning
86%
Dynamical systems
8%
2021
Model-predictive control and reinforcement learning in multi-energy system case studies
Ceusters, G.
,
Rodríguez, R. C.
,
García, A. B.
,
Franke, R.
,
Deconinck, G.
,
Helsen, L.
,
Nowé, A.
,
Messagie, M.
&
Camargo, L. R.
,
20 Apr 2021
,
35 p.
(ArXiv.org).
Research output
:
Working paper
›
Preprint
File
Reinforcement learning
100%
Model predictive control
99%
Benchmarking
20%
Dynamical systems
16%
Costs
15%
118
Downloads (Pure)
2020
An interpretable semi-supervised classifier using two different strategies for amended self-labeling
Grau, I.
,
Sengupta, D.
,
Garcia, M. M.
&
Nowe, A.
,
26 Jan 2020
,
ArXiv
,
p. 1-36
,
36 p.
Research output
:
Working paper
›
Preprint
File
Labeling
100%
Classifiers
72%
Labeled data
24%
Transparency
21%
Labels
17%
17
Downloads (Pure)