| Symbolic method for deriving policy in reinforcement learning E Alibekov, J Kubalík, R Babuška 2016 IEEE 55th Conference on Decision and Control (CDC), 2789-2795, 2016 | 28 | 2016 |
| Optimal control via reinforcement learning with symbolic policy approximation J Kubalík, E Alibekov, R Babuška IFAC-PapersOnLine 50 (1), 4162-4167, 2017 | 19 | 2017 |
| Policy derivation methods for critic-only reinforcement learning in continuous spaces E Alibekov, J Kubalík, R Babuška Engineering Applications of Artificial Intelligence 69, 178-187, 2018 | 18 | 2018 |
| Hybrid Single Node Genetic Programming for Symbolic Regression J Kubalík, E Alibekov, J Žegklitz, R Babuška Transactions on Computational Collective Intelligence XXIV, 61-82, 2016 | 11 | 2016 |
| Policy derivation methods for critic-only reinforcement learning in continuous action spaces E Alibekov, J Kubalik, R Babuska IFAC-PapersOnLine 49 (5), 285-290, 2016 | 5 | 2016 |
| Symbolic Regression for Reinforcement Learning in Continuous Spaces E Alibekov Czech Technical University, 2021 | | 2021 |
| Proxy Functions for Approximate Reinforcement Learning E Alibekov, J Kubalík, R Babuška IFAC-PapersOnLine 52 (11), 224-229, 2019 | | 2019 |
Robert BabuskaProfessor, Delft University of Technology, Czech Technical University PragueVerified email at tudelft.nl
