| Game theory and multi-agent reinforcement learning A Nowé, P Vrancx, YM De Hauwere Reinforcement Learning: State-of-the-Art, 441-470, 2012 | 320 | 2012 |
| Forecasting day-ahead electricity prices in Europe: The importance of considering market integration J Lago, F De Ridder, P Vrancx, B De Schutter Applied energy 211, 890-903, 2018 | 267 | 2018 |
| Convolutional neural networks for automatic state-time feature extraction in reinforcement learning applied to residential load control BJ Claessens, P Vrancx, F Ruelens IEEE Transactions on Smart Grid 9 (4), 3259-3269, 2016 | 184 | 2016 |
| Expressing arbitrary reward functions as potential-based advice A Harutyunyan, S Devlin, P Vrancx, A Nowé Proceedings of the AAAI conference on artificial intelligence 29 (1), 2015 | 134 | 2015 |
| Multi-objectivization of reinforcement learning problems by reward shaping T Brys, A Harutyunyan, P Vrancx, ME Taylor, D Kudenko, A Nowé 2014 international joint conference on neural networks (IJCNN), 2315-2322, 2014 | 100 | 2014 |
| Decentralized learning in markov games P Vrancx, K Verbeeck, A Nowé IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 38 …, 2008 | 97 | 2008 |
| Learning multi-agent state space representations YM De Hauwere, P Vrancx, A Nowé Proceedings of the 9th International Conference on Autonomous Agents and …, 2010 | 95 | 2010 |
| DIANA: An end-to-end energy-efficient digital and ANAlog hybrid neural network SoC K Ueyoshi, IA Papistas, P Houshmand, GM Sarda, V Jain, M Shi, Q Zheng, ... 2022 IEEE International Solid-State Circuits Conference (ISSCC) 65, 1-3, 2022 | 71 | 2022 |
| Soft q-learning with mutual-information regularization J Grau-Moya, F Leibfried, P Vrancx International Conference on Learning Representations, 2018 | 65 | 2018 |
| Multi-objectivization and ensembles of shapings in reinforcement learning T Brys, A Harutyunyan, P Vrancx, A Nowé, ME Taylor Neurocomputing 263, 48-59, 2017 | 50 | 2017 |
| Direct load control of thermostatically controlled loads based on sparse observations using deep reinforcement learning F Ruelens, BJ Claessens, P Vrancx, F Spiessens, G Deconinck CSEE Journal of Power and Energy Systems 5 (4), 423-432, 2019 | 48 | 2019 |
| Switching dynamics of multi-agent learning. P Vrancx, K Tuyls, RL Westra, A Nowé AAMAS (1) 2008, 307-313, 2008 | 47 | 2008 |
| A model based on ant colony system and rough set theory to feature selection R Bello, A Nowe, Y Caballero, Y Gómez, P Vrancx Proceedings of the 7th annual conference on genetic and evolutionary …, 2005 | 39 | 2005 |
| Multi-type ant colony: The edge disjoint paths problem A Nowé, K Verbeeck, P Vrancx Ant Colony Optimization and Swarm Intelligence: 4th International Workshop …, 2004 | 39 | 2004 |
| Machine learning system A Tukiainen, D Kim, T Nicholson, M Tomczak, JEMDEC FLORES, ... US Patent App. 16/753,580, 2020 | 31 | 2020 |
| Improving wet clutch engagement with reinforcement learning K Van Vaerenbergh, A Rodríguez, M Gagliolo, P Vrancx, A Nowé, J Stoev, ... The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 30 | 2012 |
| Transfer learning for multi-agent coordination P Vrancx, YM De Hauwere, A Nowé International Conference on Agents and Artificial Intelligence 2, 263-272, 2011 | 29 | 2011 |
| Learning with options that terminate off-policy A Harutyunyan, P Vrancx, PL Bacon, D Precup, A Nowe Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 28 | 2018 |
| Predicting seat-off and detecting start-of-assistance events for assisting sit-to-stand with an exoskeleton K Tanghe, A Harutyunyan, E Aertbeliën, F De Groote, J De Schutter, ... IEEE Robotics and Automation Letters 1 (2), 792-799, 2016 | 27 | 2016 |
| Reinforcement learning in POMDPs with memoryless options and option-observation initiation sets D Steckelmacher, D Roijers, A Harutyunyan, P Vrancx, H Plisnier, A Nowé Proceedings of the AAAI conference on artificial intelligence 32 (1), 2018 | 25 | 2018 |
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