Tim Brys

709 citations

28 papers · 409 indexed · h-index 11

Impact in

Artificial Intelligence top 5%
- Reinforcement Learning in Robotics
- Evolutionary Algorithms and Applications
- Metaheuristic Optimization Algorithms Research
Computational Theory and Mathematics top 5%
- Advanced Multi-Objective Optimization Algorithms

Papers in ⓘ

Computational Theory and Mathematics 13
- Advanced Multi-Objective Optimization Algorithms 9
- Advanced Algebra and Logic 3
Artificial Intelligence 24
- Reinforcement Learning in Robotics 14
- Evolutionary Algorithms and Applications 5
- Metaheuristic Optimization Algorithms Research 5
- Logic, Reasoning, and Knowledge 3
- Artificial Intelligence in Games 2

Co-authors: Matthew E. Taylor (11 shared papers)Ann Nowé (20 shared papers)Anna Harutyunyan (6 shared papers)Halit Bener Suay (3 shared papers)Sonia Chernova (3 shared papers)Peter Vrancx (4 shared papers)Daniel Kudenko⋆ (4 shared papers)Kristof Van Moffaert (4 shared papers)
Journals: The Knowledge Engineering Review (1 paper)Neurocomputing (1 paper)Connection Science (1 paper)VUBIR (Vrije Universiteit Brussel) (5 papers)Proceedings of the AAAI Conference on Artificial Intelligence (2 papers)
Partner nations: Belgium United States Netherlands

In The Last Decade

Tim Brys

28 papers receiving 393 citations

Peers

Countries citing papers authored by Tim Brys

Since Specialization

Citations

This map shows the geographic impact of Tim Brys's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Tim Brys with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Tim Brys more than expected).

Fields of papers citing papers by Tim Brys

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Tim Brys. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Tim Brys. The network helps show where Tim Brys may publish in the future.

Co-authors

The 22 scholars most cited alongside Tim Brys, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Tim Brys Line = papers co-authored together Tim Brys links everyone, so they are left out of the graph.

All Works

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20 of 20 papers shown

Showing the 20 most-cited of 28 papers — load more, or switch the sort, to bring in the rest.

#	Work
1	Reinforcement learning from demonstration through shaping VUBIR (Vrije Universiteit Brussel) ·Tim Brys, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Matthew E. Taylor, Ann Nowé	2015	83
2	Distributed learning and multi-objectivity in traffic light control Connection Science ·Tim Brys, Tong Pham, Matthew E. Taylor	2014	41
3	Multi-objectivization of reinforcement learning problems by reward shaping Tim Brys, Anna Harutyunyan, Peter Vrancx, Matthew E. Taylor, Daniel Kudenko⋆, Ann Nowé	2014	40
4	Learning from Demonstration for Shaping through Inverse Reinforcement Learning Adaptive Agents and Multi-Agents Systems ·Halit Bener Suay, Tim Brys, Matthew E. Taylor, Sonia Chernova	2016	34
5	Policy Transfer using Reward Shaping Adaptive Agents and Multi-Agents Systems ·Tim Brys, Anna Harutyunyan, Matthew E. Taylor, Ann Nowé	2015	29
6	Multi-objectivization and ensembles of shapings in reinforcement learning Neurocomputing ·Tim Brys, Anna Harutyunyan, Peter Vrancx, Ann Nowé, Matthew E. Taylor	2017	29
7	A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning Kristof Van Moffaert, Tim Brys, Arjun Chandra, Lukas Esterle, Peter R. Lewis, Ann Nowé	2014	21
8	Combining Multiple Correlated Reward and Shaping Signals by Measuring Confidence Proceedings of the AAAI Conference on Artificial Intelligence ·Tim Brys, Ann Nowé, Daniel Kudenko⋆, Matthew E. Taylor	2014	21
9	Adapting to Concept Drift in Credit Card Transaction Data Streams Using Contextual Bandits and Decision Trees Proceedings of the AAAI Conference on Artificial Intelligence ·Dennis J. N. J. Soemers, Tim Brys, Kurt Driessens, Mark H. M. Winands, Ann Nowé	2018	18
10	Fair-share ILS Steven Adriænsen, Tim Brys, Ann Nowé	2014	16
11	Designing reusable metaheuristic methods: A semi-automated approach Steven Adriænsen, Tim Brys, Ann Nowé	2014	11
12	On the Behaviour of Scalarization Methods for the Engagement of a Wet Clutch VUBIR (Vrije Universiteit Brussel) ·Tim Brys, Kristof Van Moffaert, Kevin Van Vaerenbergh, Ann Nowé	2013	10
13	Learning Coordinated Traffic Light Control VUBIR (Vrije Universiteit Brussel) ·Tong Pham, Tim Brys, Matthew E. Taylor	2013	8
14	Shaping Mario with Human Advice Adaptive Agents and Multi-Agents Systems ·Anna Harutyunyan, Tim Brys, Peter Vrancx, Ann Nowé	2015	8
15	Dimensionality Reduced Reinforcement Learning for Assistive Robots. National Conference on Artificial Intelligence ·William J. Curran, Tim Brys, David W. Aha, Matthew E. Taylor, William D. Smart	2016	6
16	Solving satisfiability in fuzzy logics with evolution strategies Ghent University Academic Bibliography (Ghent University) ·Tim Brys, Yann-Michaël De Hauwere, Martine De Cock, Ann Nowé	2012	5
17	Departure MANagement with a Reinforcement Learning Approach: Respecting CFMU Slots Ivomar Brito Soares, Yann-Michaël De Hauwere, Kris Januarius, Tim Brys, Thierry Salvant, Ann Nowé	2015	5
18	Risk-sensitivity through multi-objective reinforcement learning Kristof Van Moffaert, Tim Brys, Ann Nowé	2015	4
19	Online distributed voltage control of an offshore MTdc network using reinforcement learning S. Rodrigues, R. Teixeira Pinto, Pavol Bauer, Tim Brys, Ann Nowé	2015	3
20	Solving satisfiability in fuzzy logics by mixing CMA-ES Ghent University Academic Bibliography (Ghent University) ·Tim Brys, Mădălina M. Drugan, Peter A. N. Bosman, Martine De Cock, Ann Nowé	2013	3

About Tim Brys

Tim Brys is a scholar working on Computational Theory and Mathematics, Artificial Intelligence, Control and Systems Engineering, Transportation and Management Science and Operations Research, having authored 28 papers that have together received 409 indexed citations. Recurring topics across this work include Reinforcement Learning in Robotics (14 papers), Advanced Multi-Objective Optimization Algorithms (9 papers), Robot Manipulation and Learning (6 papers), Evolutionary Algorithms and Applications (5 papers), Metaheuristic Optimization Algorithms Research (5 papers), Advanced Algebra and Logic (3 papers), Logic, Reasoning, and Knowledge (3 papers) and Artificial Intelligence in Games (2 papers). The work is most often cited by research in Artificial Intelligence (300 citations), Computational Theory and Mathematics (99 citations), Control and Systems Engineering (127 citations), Management Science and Operations Research (47 citations) and Automotive Engineering (43 citations). Tim Brys has collaborated with scholars based in Belgium, United States and Netherlands. Frequent co-authors include Matthew E. Taylor, Ann Nowé, Anna Harutyunyan, Halit Bener Suay, Sonia Chernova, Peter Vrancx, Daniel Kudenko⋆, Kristof Van Moffaert, Kurt Driessens and Mark H. M. Winands. Their work appears in journals such as The Knowledge Engineering Review, Neurocomputing, Connection Science, VUBIR (Vrije Universiteit Brussel) and Proceedings of the AAAI Conference on Artificial Intelligence.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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