A comprehensive survey of multiagent reinforcement learning L Busoniu, R Babuska, B De Schutter IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2008 | 2721 | 2008 |
Fuzzy modeling for control R Babuška Springer Science & Business Media, 2012 | 2230 | 2012 |
Reinforcement learning and dynamic programming using function approximators L Busoniu, R Babuska, B De Schutter, D Ernst CRC press, 2017 | 1243 | 2017 |
A survey of actor-critic reinforcement learning: Standard and natural policy gradients I Grondman, L Busoniu, GAD Lopes, R Babuska IEEE Transactions on Systems, Man, and Cybernetics, part C (applications and …, 2012 | 1142 | 2012 |
Multi-agent reinforcement learning: An overview L Buşoniu, R Babuška, B De Schutter Innovations in multi-agent systems and applications-1, 183-221, 2010 | 950 | 2010 |
Similarity measures in fuzzy rule base simplification M Setnes, R Babuska, U Kaymak, HR van Nauta Lemke IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 28 …, 1998 | 672 | 1998 |
Perspectives of fuzzy systems and control A Sala, TM Guerra, R Babuška Fuzzy sets and systems 156 (3), 432-444, 2005 | 503 | 2005 |
Neuro-fuzzy methods for nonlinear system identification R Babuška, H Verbruggen Annual reviews in control 27 (1), 73-85, 2003 | 455 | 2003 |
Stability analysis and nonlinear observer design using Takagi-Sugeno fuzzy models Z Lendek, TM Guerra, R Babuska, B De Schutter Springer Berlin Heidelberg, 2011 | 446 | 2011 |
Modified Gath-Geva fuzzy clustering for identification of Takagi-Sugeno fuzzy models J Abonyi, R Babuska, F Szeifert IEEE Transactions on Systems, Man, and Cybernetics, Part B (Cybernetics) 32 …, 2002 | 412 | 2002 |
Fuzzy model for the prediction of unconfined compressive strength of rock samples MA Grima, R Babuška International journal of rock mechanics and mining sciences 36 (3), 339-349, 1999 | 406 | 1999 |
An overview of fuzzy modeling for control R Babuška, HB Verbruggen Control Engineering Practice 4 (11), 1593-1606, 1996 | 405 | 1996 |
Deep convolutional neural networks for detection of rail surface defects S Faghih-Roohi, S Hajizadeh, A Núñez, R Babuska, B De Schutter 2016 International joint conference on neural networks (IJCNN), 2584-2589, 2016 | 390 | 2016 |
Rule-based modeling: Precision and transparency M Setnes, R Babuska, HB Verbruggen IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 1998 | 378 | 1998 |
Improved covariance estimation for Gustafson-Kessel clustering R Babuka, PJ Van der Veen, U Kaymak 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002 | 351 | 2002 |
Residential demand response of thermostatically controlled loads using batch reinforcement learning F Ruelens, BJ Claessens, S Vandael, B De Schutter, R Babuška, ... IEEE Transactions on Smart Grid 8 (5), 2149-2159, 2016 | 344 | 2016 |
Railway track circuit fault diagnosis using recurrent neural networks T De Bruin, K Verbert, R Babuška IEEE transactions on neural networks and learning systems 28 (3), 523-533, 2016 | 335 | 2016 |
Experience replay for real-time reinforcement learning control S Adam, L Busoniu, R Babuska IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2011 | 304 | 2011 |
Multi-agent discrete-time graphical games and reinforcement learning solutions MI Abouheaf, FL Lewis, KG Vamvoudakis, S Haesaert, R Babuska Automatica 50 (12), 3038-3053, 2014 | 262 | 2014 |
Fuzzy predictive control applied to an air-conditioning system JM Sousa, R Babuška, HB Verbruggen Control engineering practice 5 (10), 1395-1406, 1997 | 226 | 1997 |