| Energy optimization of wind turbines via a neural control policy based on reinforcement learning Markov chain Monte Carlo algorithm VT Aghaei, A Ağababaoğlu, B Bawo, P Naseradinmousavi, S Yıldırım, ... Applied Energy, 2022 | 32 | 2022 |
| Sand cat swarm optimization-based feedback controller design for nonlinear systems VT Aghaei, A SeyyedAbbasi, J Rasheed, AM Abu-Mahfouz Heliyon 9 (3), 2023 | 29 | 2023 |
| A real-world application of Markov chain Monte Carlo method for Bayesian trajectory control of a robotic manipulator VT Aghaei, A Ağababaoğlu, S Yıldırım, A Onat ISA transactions 125, 580-590, 2022 | 19 | 2022 |
| Deep reinforcement learning-based control of Stewart platform with parametric simulation in ROS and Gazebo H Yadavari, V Tavakol Aghaei, S İkizoğlu Journal of Mechanisms and Robotics 15 (3), 035001, 2023 | 17 | 2023 |
| Addressing challenges in dynamic modeling of stewart platform using reinforcement learning-based control approach H Yadavari, VT Aghaei, SI GLU Journal of Robotics and Control (JRC) 5 (1), 117-131, 2024 | 14 | 2024 |
| Fuzzy PID controller design using Q-learning algorithm with a manipulated reward function VT Aghaei, A Onat, I Eksin, M Guzelkaya 2015 European control conference (ECC), 2502-2507, 2015 | 14 | 2015 |
| A Markov chain Monte Carlo algorithm for Bayesian policy search V Tavakol Aghaei, A Onat, S Yıldırım Systems Science & Control Engineering 6 (1), 438-455, 2018 | 13 | 2018 |
| Classical and intelligent methods in model extraction and stabilization of a dual-axis reaction wheel pendulum: A comparative study YE Bezci, VT Aghaei, BE Akbulut, D Tan, T Allahviranloo, ... Results in Engineering 16, 100685, 2022 | 8 | 2022 |
| Off-Policy Deep Reinforcement Learning Algorithms for Handling Various Robotic Manipulator Tasks A Rzayev, VT Aghaei arXiv preprint arXiv:2212.05572, 2022 | 5 | 2022 |
| Modeling and simulation of the control performance of a reaction wheel pendulum VT Aghaei, B ilayda Kömürcü, D Saka, B Aydoğan, G Kizilca, Ş Erener 2021 29th Signal Processing and Communications Applications Conference (SIU …, 2021 | 4 | 2021 |
| Tuning scaling factors of fuzzy logic controllers via reinforcement learning policy gradient algorithms VT Aghaei, A Onat Proceedings of the 3rd International Conference on Mechatronics and Robotics …, 2017 | 4 | 2017 |
| Bayesian learning for policy search in trajectory control of a planar manipulator VT Aghaei, A Ağababaoğlu, A Onat, S Yıldırım 2019 IEEE 9th Annual Computing and Communication Workshop and Conference …, 2019 | 3 | 2019 |
| Self-Balancing Tray for Service Robots ME Özdel, E Kılıç, M Atila, VB Tavakol, M Saraç 2025 33rd Signal Processing and Communications Applications Conference (SIU …, 2025 | | 2025 |
| Battery Capacity Determination of Electric Vehicle Under Variable Temperature Conditions H Yavuz, T Saygılı, A Gülişli, VB Tavakol 2024 15th National Conference on Electrical and Electronics Engineering …, 2024 | | 2024 |
| D3.1 - Battery module and pack design, NEXTBMS Deliverable Report Vahit Tavakol, Mutlu Guder, Markus Reiter, Maximilian Gschaider, Rober ... HORIZON EUROPE, NEXT generation physics and data-based Battery Management …, 2024 | | 2024 |
| Markov Chain Monte Carlo Algorithm for Bayesian Policy Search VT Aghaei Sabanci University, Faculty of Engineering and Natural Sciences, https …, 2019 | | 2019 |
| Fuzzified Q-Learning Algorithm in the Design of Fuzzy PID Controller Aghaei, Vahid Tavakol Istanbul Technical University, Institute of Science and Technology, 2013 | | 2013 |
Ahmet OnatFaculty of Electrical and Electronics Eng. Istanbul Technical UniversityVerified email at itu.edu.tr
