Follow
Dávid Vincze
Dávid Vincze
Department of Information Technology, University of Miskolc
Verified email at iit.uni-miskolc.hu
Title
Cited by
Cited by
Year
Incremental rule base creation with fuzzy rule interpolation-based Q-learning
D Vincze, S Kovács
Computational Intelligence in Engineering, 191-203, 2010
462010
Fuzzy rule interpolation-based Q-learning
D Vincze, S Kovács
2009 5th International Symposium on Applied Computational Intelligence and …, 2009
452009
Interpolation based fuzzy automaton for human-robot interaction
S Kovács, D Vincze, M Gácsi, P Korondi
IFAC Proceedings Volumes 42 (16), 317-322, 2009
442009
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
352011
Fuzzy rule interpolation and reinforcement learning
D Vincze
2017 IEEE 15th International Symposium on Applied Machine Intelligence and …, 2017
262017
Rule-base reduction in Fuzzy Rule Interpolation-based Q-learning
D Vincze, S Kovács
Recent Innovations in Mechatronics 2 (1-2.), 1-6., 2015
262015
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
262010
Declarative language for behaviour description
I Piller, D Vincze, S Kovács
Emergent Trends in Robotics and Intelligent Systems: Where is the Role of …, 2015
222015
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
222012
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
192012
Performance Optimization of the Fuzzy Rule Interpolation Method" FIVE".
D Vincze, S Kovács
J. Adv. Comput. Intell. Intell. Informatics 15 (3), 313-320, 2011
192011
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
172008
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
162011
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
142020
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
132021
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
82021
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
72015
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
62020
Performance issues of the implemented FRI ‘FIVE’
D Vincze, S Kovács
2010 11th International Symposium on Computational Intelligence and …, 2010
62010
What-You-See-Is-What-You-Get Indoor Localization for Physical Human-Robot Interaction Experiments
D Vincze, M Niitsuma
2022 IEEE/ASME International Conference on Advanced Intelligent Mechatronics …, 2022
52022
The system can't perform the operation now. Try again later.
Articles 1–20