| 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 | 1 | 2023 |
| 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 |
| Wasserstein Distributionally Robust Regret-Optimal Control in the Infinite-Horizon T Kargin, J Hajar, V Malik, B Hassibi arXiv preprint arXiv:2312.17376, 2023 | | 2023 |
| Regret-Optimal Control under Partial Observability J Hajar, O Sabag, B Hassibi arXiv preprint arXiv:2311.06433, 2023 | | 2023 |
| Code for the Article" Modeling of Political Systems using Wasserstein Gradient Flows" N Lanzetti, J Hajar, F Dörfler ETH Zurich, 2022 | | 2022 |
| 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 | | 2022 |
Babak HassibiMose and Lilian S. Bohn Professor of Electrical EngineeringVerified email at caltech.edu
