| Model and data based approaches to the control of tensegrity robots R Wang, R Goyal, S Chakravorty, RE Skelton IEEE Robotics and Automation Letters 5 (3), 3846-3853, 2020 | 26 | 2020 |
| Decoupled data-based approach for learning to control nonlinear dynamical systems R Wang, KS Parunandi, D Yu, D Kalathil, S Chakravorty IEEE Transactions on Automatic Control 67 (7), 3582-3589, 2021 | 15 | 2021 |
| On the search for feedback in reinforcement learning R Wang, KS Parunandi, A Sharma, R Goyal, S Chakravorty 2021 60th IEEE Conference on Decision and Control (CDC), 1560-1567, 2021 | 8 | 2021 |
| On the feedback law in stochastic optimal nonlinear control MNG Mohamed, S Chakravorty, R Goyal, R Wang 2022 American Control Conference (ACC), 970-975, 2022 | 5 | 2022 |
| Data-based control of partially-observed robotic systems R Wang, R Goyal, S Chakravorty, RE Skelton 2021 IEEE International Conference on Robotics and Automation (ICRA), 8104-8110, 2021 | 4 | 2021 |
| Optimality and tractability in stochastic nonlinear control MNG Mohamed, S Chakravorty, R Wang arXiv preprint arXiv:2004.01041, 2020 | 3 | 2020 |
| On the optimal feedback law in stochastic optimal nonlinear control MNG Mohamed, S Chakravorty, R Goyal, R Wang arXiv preprint arXiv:2004.01041, 2020 | 3* | 2020 |
| Partially-Observed Decoupled Data-based Control (POD2C) for Complex Robotic Systems R Goyal, R Wang, S Chakravorty, RE Skelton arXiv e-prints, arXiv: 2107.08086, 2021 | 2 | 2021 |
| On the convergence of reinforcement learning S Chakravorty, R Wang, M Naveed Gul Mohamed arXiv e-prints, arXiv: 2011.10829, 2020 | 2 | 2020 |
| The Information-State Based Approach to Linear System Identification MNG Mohamed, R Goyal, S Chakravorty, R Wang 2023 American Control Conference (ACC), 301-306, 2023 | 1 | 2023 |
| On the convergence of reinforcement learning in nonlinear continuous state space problems R Goyal, S Chakravorty, R Wang, MNG Mohamed 2021 60th IEEE Conference on Decision and Control (CDC), 2969-2975, 2021 | 1 | 2021 |
| An Information-state based Approach to the Optimal Output Feedback Control of Nonlinear Systems R Goyal, R Wang, MNG Mohamed, A Sharma, S Chakravorty arXiv preprint arXiv:2107.08086, 2021 | 1 | 2021 |
| Learning to Control Under Uncertainty with Data-Based Iterative Linear Quadratic Regulator R Wang, R Goyal, S Chakravorty 2023 62nd IEEE Conference on Decision and Control (CDC), 789-794, 2023 | | 2023 |
| The Information-State Based Approach to Linear System Identification M Naveed Gul Mohamed, R Goyal, S Chakravorty, R Wang arXiv e-prints, arXiv: 2211.10583, 2022 | | 2022 |
| Decoupled Data-Based Control (D2C) for Complex Robotic Systems R Wang Texas A&M University, 2022 | | 2022 |
| On the Optimal Feedback Law in Stochastic Optimal Nonlinear Control M Naveed Gul Mohamed, S Chakravorty, R Goyal, R Wang arXiv e-prints, arXiv: 2004.01041, 2020 | | 2020 |
Suman ChakravortyTexas A&M UniversityBestätigte E-Mail-Adresse bei tamu.edu
