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 | 23 | 2020 |
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 | 23 | 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 | 21 | 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 | 14 | 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 | 11 | 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 | 7* | 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 | 6 | 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 Dynamic Games and Applications, 1-41, 2024 | 2 | 2024 |
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 | 2 | 2023 |
Nash Equilibria for Exchangeable Team-Against-Team Games, Their Mean-Field Limit, and the Role of Common Randomness S Sanjari, N Saldi, S Yüksel SIAM Journal on Control and Optimization 62 (3), 1437-1464, 2024 | 1 | 2024 |
Decentralized Exchangeable Stochastic Dynamic Teams in Continuous-time, their Mean-Field Limits and Optimality of Symmetric Policies S Sanjari, N Saldi, S Yüksel arXiv preprint arXiv:2404.15581, 2024 | 1 | 2024 |
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 | 1 | 2024 |
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 |
Compressed Online Learning of Conditional Mean Embedding B Hou, S Sanjari, A Koppel, S Bose arXiv preprint arXiv:2405.07432, 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 |