Joudi Hajar

According to our database, Joudi Hajar authored at least 13 papers between 2022 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2024

Optimal Infinite-Horizon Mixed H₂/H∞ Control.

Vikrant Malik, Taylan Kargin, Joudi Hajar, Babak Hassibi

CoRR, 2024

The Distributionally Robust Infinite-Horizon LQR.

Joudi Hajar, Taylan Kargin, Vikrant Malik, Babak Hassibi

CoRR, 2024

Distributionally Robust Kalman Filtering over Finite and Infinite Horizon.

Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi

CoRR, 2024

Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach.

Hiroyasu Tsukamoto, Joudi Hajar, Soon-Jo Chung, Fred Y. Hadaegh

CoRR, 2024

Robust Optimal Network Topology Switching for Zero Dynamics Attacks.

Hiroyasu Tsukamoto, Joshua D. Ibrahim, Joudi Hajar, James Ragan, Soon-Jo Chung, Fred Y. Hadaegh

CoRR, 2024

Wasserstein distributionally robust regret-optimal control over infinite-horizon.

Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi

Proceedings of the 6th Annual Learning for Dynamics & Control Conference, 2024

Infinite-Horizon Distributionally Robust Regret-Optimal Control.

Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi

Proceedings of the Forty-first International Conference on Machine Learning, 2024

Regret-Optimal Control under Partial Observability.

Joudi Hajar, Oron Sabag, Babak Hassibi

Proceedings of the American Control Conference, 2024

Optimal Infinite-Horizon Mixed H2/ H∞ Control.

Vikrant Malik, Taylan Kargin, Joudi Hajar, Babak Hassibi

Proceedings of the 60th Annual Allerton Conference on Communication, 2024

2023

Wasserstein Distributionally Robust Regret-Optimal Control in the Infinite-Horizon.

Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi

CoRR, 2023

Wasserstein Distributionally Robust Regret-Optimal Control under Partial Observability.

Joudi Hajar, Taylan Kargin, Babak Hassibi

Proceedings of the 59th Annual Allerton Conference on Communication, 2023

2022

MTMA-DDPG: A Deep Deterministic Policy Gradient Reinforcement Learning for Multi-task Multi-agent Environments.

Karim Hamadeh, Julia El Zini, Joudi Hajar, Mariette Awad

Proceedings of the Artificial Intelligence Applications and Innovations, 2022

Modeling of Political Systems using Wasserstein Gradient Flows.

Nicolas Lanzetti, Joudi Hajar, Florian Dörfler

Proceedings of the 61st IEEE Conference on Decision and Control, 2022