| Optimal solutions to infinite-player stochastic teams and mean-field teams S Sanjari, S Yüksel IEEE Transactions on Automatic Control 66 (3), 1071-1086, 2020 | 19 | 2020 |
| Optimality of independently randomized symmetric policies for exchangeable stochastic teams with infinitely many decision makers S Sanjari, N Saldi, S Yüksel Mathematics of Operations Research, 2020 | 18 | 2020 |
| Optimal policies for convex symmetric stochastic dynamic teams and their mean-field limit S Sanjari, S Yuksel SIAM Journal on Control and Optimization 59 (2), 777-804, 2021 | 17 | 2021 |
| Isomorphism Properties of Optimality and Equilibrium Solutions under Equivalent Information Structure Transformations: Stochastic Dynamic Games and Teams S Sanjari, T Başar, S Yüksel SIAM Journal on Control and Optimization, 2023 | 8 | 2023 |
| Sparse Learning of Dynamical Systems in RKHS: An Operator-Theoretic Approach B Hou, S Sanjari, N Dahlin, S Bose, U Vaidya Proceedings of the International Conference on Machine Learning (ICML), 2023 | 6 | 2023 |
| Nash Equilibria for Exchangeable Team against Team Games, their Mean Field Limit, and Role of Common Randomness S Sanjari, N Saldi, S Yüksel arXiv preprint arXiv:2210.07339, 2022 | 5* | 2022 |
| Convex symmetric stochastic dynamic teams and their mean-field limit S Sanjari, S Yüksel 2019 IEEE 58th Conference on Decision and Control (CDC), 4662-4667, 2019 | 5 | 2019 |
| Policy-dependent and policy-independent static reduction of stochastic dynamic teams and games and fragility of equivalence properties S Sanjari, T Başar, S Yüksel 2021 60th IEEE Conference on Decision and Control (CDC), 6231-6236, 2021 | 4 | 2021 |
| Optimal stochastic teams with infinitely many decision makers and Mean-field teams S Sanjari, S Yüksel 2018 IEEE Conference on Decision and Control (CDC), 4123-4128, 2018 | 4 | 2018 |
| Incentive designs for stackelberg games with a large number of followers and their mean-field limits S Sanjari, S Bose, T Başar arXiv preprint arXiv:2207.10611, 2022 | 2 | 2022 |
| Compressed decentralized learning of conditional mean embedding operators in reproducing kernel hilbert spaces B Hou, S Sanjari, N Dahlin, S Bose Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 7902-7909, 2023 | 1 | 2023 |
| Signaling-based Robust Incentive Designs with Randomized Monitoring S Sanjari, S Bose, T Başar IFAC-PapersOnLine 56 (2), 1754-1759, 2023 | 1 | 2023 |
| Independently randomized symmetric policies are optimal for exchangeable stochastic teams with infinitely many decision makers S Sanjari, N Saldi, S Yüksel 2020 59th IEEE Conference on Decision and Control (CDC), 5986-5991, 2020 | 1 | 2020 |
| Optimality of Decentralized Symmetric Policies for Stochastic Teams with Mean-Field Information Sharing S Sanjari, N Saldi, S Yüksel arXiv preprint arXiv:2404.04957, 2024 | | 2024 |
| Quantum Markov Decision Processes Part I: General Theory, Approximations, and Classes of Policies N Saldi, S Sanjari, S Yuksel arXiv preprint arXiv:2402.14649, 2024 | | 2024 |
| Quantum Markov Decision Processes Part II: Optimal Solutions and Algorithms N Saldi, S Sanjari, S Yuksel arXiv preprint arXiv:2402.14651, 2024 | | 2024 |
| Decentralized Stochastic Control with Many Decision Makers and their Mean-Field Limit S Sanjari Queen's University (Canada), 2021 | | 2021 |
| ON STOCHASTIC TEAMS WITH COUNTABLY MANY DECISION MAKERS SS SANJARI | | 2017 |
Serdar YükselQueen's UniversityVerified email at mast.queensu.ca
