| Optimal and autonomous control using reinforcement learning: A survey B Kiumarsi, KG Vamvoudakis, H Modares, FL Lewis IEEE transactions on neural networks and learning systems 29 (6), 2042-2062, 2017 | 414 | 2017 |
| Reinforcement Q-learning for optimal tracking control of linear discrete-time systems with unknown dynamics B Kiumarsi, FL Lewis, H Modares, A Karimpour, MB Naghibi-Sistani Automatica 50 (4), 1167-1175, 2014 | 348 | 2014 |
| Actor–critic-based optimal tracking for partially unknown nonlinear discrete-time systems B Kiumarsi, FL Lewis IEEE transactions on neural networks and learning systems 26 (1), 140-151, 2014 | 199 | 2014 |
| Optimal tracking control of unknown discrete-time linear systems using input-output measured data B Kiumarsi, FL Lewis, MB Naghibi-Sistani, A Karimpour IEEE transactions on cybernetics 45 (12), 2770-2779, 2015 | 156 | 2015 |
| H∞ control of linear discrete-time systems: Off-policy reinforcement learning B Kiumarsi, FL Lewis, ZP Jiang Automatica 78, 144-152, 2017 | 134 | 2017 |
| Game theory-based control system algorithms with real-time reinforcement learning: How to solve multiplayer games online KG Vamvoudakis, H Modares, B Kiumarsi, FL Lewis IEEE Control Systems Magazine 37 (1), 33-52, 2017 | 111 | 2017 |
| Resilient and robust synchronization of multiagent systems under attacks on sensors and actuators H Modares, B Kiumarsi, FL Lewis, F Ferrese, A Davoudi IEEE transactions on cybernetics 50 (3), 1240-1250, 2019 | 54 | 2019 |
| Optimal output regulation of linear discrete-time systems with unknown dynamics using reinforcement learning Y Jiang, B Kiumarsi, J Fan, T Chai, J Li, FL Lewis IEEE transactions on cybernetics 50 (7), 3147-3156, 2019 | 53 | 2019 |
| Optimal control of nonlinear discrete time-varying systems using a new neural network approximation structure B Kiumarsi, FL Lewis, DS Levine Neurocomputing 156, 157-165, 2015 | 47 | 2015 |
| Autonomy and machine intelligence in complex systems: A tutorial KG Vamvoudakis, PJ Antsaklis, WE Dixon, JP Hespanha, FL Lewis, ... 2015 American Control Conference (ACC), 5062-5079, 2015 | 45 | 2015 |
| Off-policy reinforcement learning: Optimal operational control for two-time-scale industrial processes J Li, B Kiumarsi, T Chai, FL Lewis, J Fan IEEE Transactions on Cybernetics 47 (12), 4547-4558, 2017 | 44 | 2017 |
| Output synchronization of heterogeneous discrete-time systems: A model-free optimal approach B Kiumarsi, FL Lewis Automatica 84, 86-94, 2017 | 41 | 2017 |
| Actor-critic off-policy learning for optimal control of multiple-model discrete-time systems J Škach, B Kiumarsi, FL Lewis, O Straka IEEE transactions on cybernetics 48 (1), 29-40, 2016 | 38 | 2016 |
| Safe reinforcement learning: A control barrier function optimization approach Z Marvi, B Kiumarsi International Journal of Robust and Nonlinear Control 31 (6), 1923-1940, 2021 | 31 | 2021 |
| Optimal tracking control for linear discrete-time systems using reinforcement learning B Kiumarsi-Khomartash, FL Lewis, MB Naghibi-Sistani, A Karimpour 52nd IEEE Conference on Decision and Control, 3845-3850, 2013 | 29 | 2013 |
| Operational control of mineral grinding processes using adaptive dynamic programming and reference governor X Lu, B Kiumarsi, T Chai, Y Jiang, FL Lewis IEEE Transactions on Industrial Informatics 15 (4), 2210-2221, 2018 | 26 | 2018 |
| Employing adaptive particle swarm optimization algorithm for parameter estimation of an exciter machine A Darabi, A Alfi, B Kiumarsi, H Modares | 20 | 2012 |
| H∞ control of nonaffine aerial systems using off-policy reinforcement learning B Kiumarsi, W Kang, FL Lewis Unmanned Systems 4 (01), 51-60, 2016 | 18 | 2016 |
| Model-free λ-policy iteration for discrete-time linear quadratic regulation Y Yang, B Kiumarsi, H Modares, C Xu IEEE Transactions on Neural Networks and Learning Systems, 2021 | 13 | 2021 |
| Data‐driven optimal control of operational indices for a class of industrial processes X Lu, B Kiumarsi, T Chai, FL Lewis IET Control Theory & Applications 10 (12), 1348-1356, 2016 | 12 | 2016 |
F.L. Lewisprofessor of electrical engineering, The University of Texas at Arlingtonuta.edu üzerinde doğrulanmış e-posta adresine sahip
