| 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 | 129 | 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 | 52 | 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 | 49 | 2014 |
| Distributed learning and multi-objectivity in traffic light control T Brys, TT Pham, ME Taylor Connection Science 26 (1), 65-83, 2014 | 45 | 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 | 39 | 2015 |
| Combining multiple correlated reward and shaping signals by measuring confidence T Brys, A Nowé, D Kudenko, M Taylor Proceedings of the AAAI Conference on Artificial Intelligence 28 (1), 2014 | 27 | 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 | 21 | 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 | 19 | 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 | 15 | 2014 |
| Learning Coordinated Traffic Light Control TT Pham, T Brys, ME Taylor Adaptive Learning Agents Workshop at AAMAS 2013, 2013 | 14 | 2013 |
| Shaping mario with human advice A Harutyunyan, T Brys, P Vrancx, A Nowé Proceedings of the 2015 International Conference on Autonomous Agents and …, 2015 | 13 | 2015 |
| Designing reusable metaheuristic methods: A semi-automated approach S Adriaensen, T Brys, A Nowé 2014 IEEE congress on evolutionary computation (CEC), 2969-2976, 2014 | 13 | 2014 |
| Adapting to concept drift in credit card transaction data streams using contextual bandits and decision trees D Soemers, T Brys, K Driessens, M Winands, A Nowé Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 12 | 2018 |
| A gentle introduction to reinforcement learning A Nowé, T Brys International Conference on Scalable Uncertainty Management, 18-32, 2016 | 11 | 2016 |
| Dimensionality Reduced Reinforcement Learning for Assistive Robots. W Curran, T Brys, DW Aha, ME Taylor, WD Smart AAAI Fall Symposia, 2016 | 10 | 2016 |
| Using PCA to efficiently represent state spaces W Curran, T Brys, M Taylor, W Smart arXiv preprint arXiv:1505.00322, 2015 | 10 | 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 | 10 | 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 | 10 | 2013 |
| Off-policy shaping ensembles in reinforcement learning A Harutyunyan, T Brys, P Vrancx, A Nowé arXiv preprint arXiv:1405.5358, 2014 | 9 | 2014 |
| Reinforcement Learning with Heuristic Information T Brys Vrije Universiteit Brussel, 2016 | 8 | 2016 |
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