Incremental rule base creation with fuzzy rule interpolation-based Q-learning D Vincze, S Kovács Computational Intelligence in Engineering, 191-203, 2010 | 46 | 2010 |
Fuzzy rule interpolation-based Q-learning D Vincze, S Kovács 2009 5th International Symposium on Applied Computational Intelligence and …, 2009 | 45 | 2009 |
Interpolation based fuzzy automaton for human-robot interaction S Kovács, D Vincze, M Gácsi, P Korondi IFAC Proceedings Volumes 42 (16), 317-322, 2009 | 44 | 2009 |
Ethologically inspired robot behavior implementation S Kovács, D Vincze, M Gácsi, Á Miklósi, P Korondi 2011 4th International Conference on Human System Interactions, HSI 2011, 64-69, 2011 | 35 | 2011 |
Fuzzy rule interpolation and reinforcement learning D Vincze 2017 IEEE 15th International Symposium on Applied Machine Intelligence and …, 2017 | 26 | 2017 |
Rule-base reduction in Fuzzy Rule Interpolation-based Q-learning D Vincze, S Kovács Recent Innovations in Mechatronics 2 (1-2.), 1-6., 2015 | 26 | 2015 |
Fuzzy automaton based human-robot interaction S Kovács, D Vincze, M Gácsi, Á Miklósi, P Korondi 2010 IEEE 8th International Symposium on Applied Machine Intelligence and …, 2010 | 24 | 2010 |
Declarative language for behaviour description I Piller, D Vincze, S Kovács Emergent Trends in Robotics and Intelligent Systems: Where is the Role of …, 2015 | 22 | 2015 |
A novel application of the 3d virca environment: Modeling a standard ethological test of dog-human interactions D Vincze, S Kovács, M Gácsi, P Korondi, Á Miklósi, P Baranyi Acta Polytechnica Hungarica 9 (1), 107-120, 2012 | 22 | 2012 |
Performance Optimization of the Fuzzy Rule Interpolation Method" FIVE". D Vincze, S Kovács J. Adv. Comput. Intell. Intell. Informatics 15 (3), 313-320, 2011 | 19 | 2011 |
Ethologically inspired human-robot interaction interfaces D Vincze, S Kovács, M Niitsuma, H Hashimoto, P Korondi, M Gácsi, ... Proceedings of the 2012 Joint International Conference on Human-Centered …, 2012 | 18 | 2012 |
Using fuzzy rule interpolation based automata for controlling navigation and collision avoidance behaviour of a robot D Vincze, S Kovács 2008 IEEE International Conference on Computational Cybernetics, 79-84, 2008 | 17 | 2008 |
A novel, ethologically inspired HRI model implementation: Simulating dog-human attachment S Kovács, M Gácsi, D Vincze, P Korondi, Á Miklósi 2nd international conference on cognitive infocommunications, 1-4, 2011 | 16 | 2011 |
Antecedent redundancy exploitation in fuzzy rule interpolation-based reinforcement learning D Vincze, A Tóth, M Niitsuma 2020 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2020 | 14 | 2020 |
Demonstration of expert knowledge injection in Fuzzy Rule Interpolation based Q-learning T Tompa, S Kovács, D Vincze, M Niitsuma 2021 IEEE/SICE International Symposium on System Integration (SII), 843-844, 2021 | 13 | 2021 |
Towards the automatic observation and evaluation of ethologically inspired Human-Robot Interaction D Vincze, M Gácsi, S Kovács, P Korondi, Á Miklósi, M Niitsuma 2021 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2021 | 7 | 2021 |
The Pong game implementation with the FRIQ-learning reinforcement learning algorithm T Tompa, D Vincze, S Kovács Proceedings of the 2015 16th International Carpathian Control Conference …, 2015 | 7 | 2015 |
Performance issues of the implemented FRI ‘FIVE’ D Vincze, S Kovács 2010 11th International Symposium on Computational Intelligence and …, 2010 | 6 | 2010 |
Football simulation modeling with fuzzy rule interpolation-based fuzzy automaton D Vincze, A Tóth, M Niitsuma 2020 17th International Conference on Ubiquitous Robots (UR), 87-92, 2020 | 5 | 2020 |
Parallelization by vectorization in Fuzzy Rule Interpolation adapted to FRIQ-Learning D Vincze 2018 World Symposium on Digital Intelligence for Systems and Machines (DISA …, 2018 | 5 | 2018 |