| Sparse approximations to value functions in reinforcement learning HS Jakab, L Csató Artificial Neural Networks: Methods and Applications in Bio …, 2015 | 6 | 2015 |
| Reinforcement learning with guided policy search using Gaussian processes HS Jakab, L Csató The 2012 International Joint Conference on Neural Networks (IJCNN), 1-8, 2012 | 6 | 2012 |
| Using Gaussian processes for variance reduction in policy gradient algorithms H Jakab, L Csató 8 th International Conference on Applied Informatics, 87, 2010 | 5 | 2010 |
| Novel feature selection and kernel-based value approximation method for reinforcement learning HS Jakab, L Csató Artificial Neural Networks and Machine Learning–ICANN 2013: 23rd …, 2013 | 3 | 2013 |
| Improving Gaussian process value function approximation in policy gradient algorithms H Jakab, L Csató Artificial Neural Networks and Machine Learning–ICANN 2011: 21st …, 2011 | 3 | 2011 |
| Geodesic distance-based kernel construction for gaussian process value function approximation H Jakab UNIVERSITATIS BABEŞ-BOLYAI INFORMATICA, 51, 2011 | 3 | 2011 |
| Optimizing test input generation for reactive systems with an adaptive differential evolution A Szenkovits, N Gaskó, H Jakab 2016 18th International Symposium on Symbolic and Numeric Algorithms for …, 2016 | 2 | 2016 |
| Manifold-based non-parametric learning of action-value functions LC Hunor Jakab European Symposium on Artificial Neural Networks (ESANN), 579-584, 2012 | 2* | 2012 |
| Manifold-based non-parametric learning of action-value functions. H Jakab, L Csató ESANN, 2012 | 2 | 2012 |
| Non-parametric value function approximation in robotics H JAKAB, B BÓCSI, L CSATÓ MACS2010: The 8th Joint Conference on Mathematics and Computer Science …, 2011 | 1 | 2011 |
| Nonparametric methods in robotics B Bócsi, H Jakab, L Csató MaCS’10, 18, 2010 | 1 | 2010 |
| A Novel Approach for Environment Model-Based Functional Testing of Reactive Systems A Szenkovits, H Jakab VALID 2014, 44, 2014 | | 2014 |
| Simulation-Extrapolation Gaussian Processes for Input Noise Modeling B Bócsi, H Jakab, L Csató 2014 16th International Symposium on Symbolic and Numeric Algorithms for …, 2014 | | 2014 |
| Alaíz, Carlos M. 349 Alonso-Weber, Juan M. 435 Angelov, Plamen 373 Barbero, Álvaro 349 S Berlemont, P Botella-Rocamora, J Cabessa, A Chernodub, K Cho, ... Artificial Neural Networks: Methods and Applications in Bio …, 2014 | | 2014 |
| A lengő Atwood gép vezérlése megerősítéses tanulással HS Jakab Erdélyi Múzeum-Egyesület, 2011 | | 2011 |
| Guided exploration in gradient based policy search with Gaussian processes HS Jakab | | |
| Alaíz, Carlos M. 349 Alonso-Weber, Juan M. 435 P Angelov, Á Barbero, S Berlemont, P Botella-Rocamora, J Cabessa, ... Artificial Neural Networks, 487, 0 | | |
| Nonparametric methods in robotics BBH Jakab, L Csató | | |
Lehel CsatóDepartment of Computer Science and Mathematics, Babeș-Bolyai University, Cluj-NapocaVerified email at ubbcluj.ro
