Tim Brys
Tim Brys
Vahvistettu sähköpostiosoite verkkotunnuksessa vub.ac.be - Kotisivu
Reinforcement learning from demonstration through shaping
T Brys, A Harutyunyan, HB Suay, S Chernova, ME Taylor, A Nowé
Twenty-fourth international joint conference on artificial intelligence, 2015
Learning from demonstration for shaping through inverse reinforcement learning
HB Suay, T Brys, ME Taylor, S Chernova
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
Multi-Objectivization of Reinforcement Learning Problems by Reward Shaping
T Brys, A Harutyunyan, P Vrancx, ME Taylor, D Kudenko, A Nowé
International Joint Conference on Neural Networks, 2014
Distributed learning and multi-objectivity in traffic light control
T Brys, TT Pham, ME Taylor
Connection Science 26 (1), 65-83, 2014
Policy transfer using reward shaping
T Brys, A Harutyunyan, ME Taylor, A Nowé
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
Combining multiple correlated reward and shaping signals by measuring confidence
T Brys, A Nowé, D Kudenko, M Taylor
The 28th Conference of the American Association on Artificial Intelligence …, 2014
A novel adaptive weight selection algorithm for multi-objective multi-agent reinforcement learning
K Van Moffaert, T Brys, A Chandra, L Esterle, PR Lewis, A Nowé
2014 International joint conference on neural networks (IJCNN), 2306-2314, 2014
Multi-objectivization and ensembles of shapings in reinforcement learning
T Brys, A Harutyunyan, P Vrancx, A Nowé, ME Taylor
Neurocomputing 263, 48-59, 2017
Fair-Share ILS: A Simple State-of-the-art Iterated Local Search Hyperheuristic.
S Adriaensen, T Brys, A Nowé
Genetic and Evolutionary Computation Conference (GECCO-14), 2014
Shaping mario with human advice
A Harutyunyan, T Brys, P Vrancx, A Nowé
Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015
Learning Coordinated Traffic Light Control
TT Pham, T Brys, ME Taylor
Adaptive Learning Agents Workshop at AAMAS 2013, 2013
Designing reusable metaheuristic methods: A semi-automated approach
S Adriaensen, T Brys, A Nowé
2014 IEEE congress on evolutionary computation (CEC), 2969-2976, 2014
A gentle introduction to reinforcement learning
A Nowé, T Brys
International Conference on Scalable Uncertainty Management, 18-32, 2016
Adapting to concept drift in credit card transaction data streams using contextual bandits and decision trees
DJNJ Soemers, T Brys, K Driessens, MHM Winands, A Nowé
Thirty-Second AAAI Conference on Artificial Intelligence, 2018
Using PCA to efficiently represent state spaces
W Curran, T Brys, M Taylor, W Smart
arXiv preprint arXiv:1505.00322, 2015
On the behaviour of scalarization methods for the engagement of a wet clutch
T Brys, K Van Moffaert, K Van Vaerenbergh, A Nowé
2013 12th International Conference on Machine Learning and Applications 1 …, 2013
Solving Satisfiability in Fuzzy Logics by Mixing CMA-ES
T Brys, MM Drugan, PAN Bosman, M De Cock, A Nowé
Genetic and Evolutionary Computation Conference (GECCO-13), 2013
Dimensionality Reduced Reinforcement Learning for Assistive Robots.
W Curran, T Brys, DW Aha, ME Taylor, WD Smart
AAAI Fall Symposia, 2016
Off-policy shaping ensembles in reinforcement learning
A Harutyunyan, T Brys, P Vrancx, A Nowé
arXiv preprint arXiv:1405.5358, 2014
Reinforcement Learning with Heuristic Information
T Brys
Vrije Universiteit Brussel, 2016
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Artikkelit 1–20