| Wasserstein distributionally robust regret-optimal control under partial observability J Hajar, T Kargin, B Hassibi 2023 59th Annual Allerton Conference on Communication, Control, and …, 2023 | 7 | 2023 |
| Regret-Optimal Control under Partial Observability J Hajar, O Sabag, B Hassibi arXiv preprint arXiv:2311.06433, 0 | 4* | |
| Wasserstein Distributionally Robust Regret-Optimal Control in the Infinite-Horizon T Kargin*, J Hajar*, V Malik*, B Hassibi | 3* | 2023 |
| Wasserstein Distributionally Robust Regret-Optimal Control in the Infinite-Horizon T Kargin*, J Hajar*, V Malik*, B Hassibi arXiv preprint arXiv:2312.17376, 2023 | 2 | 2023 |
| MTMA-DDPG: A Deep Deterministic Policy Gradient Reinforcement Learning for Multi-task Multi-agent Environments K Hamadeh, J El Zini*, J Hajar*, M Awad IFIP International Conference on Artificial Intelligence Applications and …, 2022 | 2 | 2022 |
| Robust Optimal Network Topology Switching for Zero Dynamics Attacks H Tsukamoto, JD Ibrahim, J Hajar, J Ragan, SJ Chung, FY Hadaegh arXiv preprint arXiv:2407.18440, 2024 | 1 | 2024 |
| Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach H Tsukamoto, J Hajar, SJ Chung, FY Hadaegh arXiv preprint arXiv:2407.18448, 2024 | 1 | 2024 |
| Infinite-Horizon Distributionally Robust Regret-Optimal Control T Kargin*, J Hajar*, V Malik*, B Hassibi Forty-first International Conference on Machine Learning, 2024 | 1 | 2024 |
| Modeling of political systems using Wasserstein gradient flows N Lanzetti*, J Hajar*, F Dörfler 2022 IEEE 61st Conference on Decision and Control (CDC), 364-369, 2022 | 1 | 2022 |
| The Distributionally Robust Infinite-Horizon LQR J Hajar, T Kargin, V Malik, B Hassibi arXiv preprint arXiv:2408.06230, 2024 | | 2024 |
| Distributionally Robust Kalman Filtering over Finite and Infinite Horizon T Kargin*, J Hajar*, V Malik, B Hassibi arXiv preprint arXiv:2407.18837, 2024 | | 2024 |
| Wasserstein distributionally robust regret-optimal control over infinite-horizon T Kargin*, J Hajar*, V Malik*, B Hassibi 6th Annual Learning for Dynamics & Control Conference, 1688-1701, 2024 | | 2024 |
| Code for the Article" Modeling of Political Systems using Wasserstein Gradient Flows" N Lanzetti, J Hajar, F Dörfler ETH Zurich, 2022 | | 2022 |
Babak HassibiMose and Lilian S. Bohn Professor of Electrical Engineering在 caltech.edu 的电子邮件经过验证
