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Joudi Hajar
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2020 – today
- 2024
- [c7]Vikrant Malik, Taylan Kargin, Joudi Hajar, Babak Hassibi:
Optimal Infinite-Horizon Mixed H2/ H∞ Control. Allerton 2024: 1-8 - [c6]Joudi Hajar, Oron Sabag, Babak Hassibi:
Regret-Optimal Control under Partial Observability. ACC 2024: 4072-4077 - [c5]Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi:
Infinite-Horizon Distributionally Robust Regret-Optimal Control. ICML 2024 - [c4]Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi:
Wasserstein distributionally robust regret-optimal control over infinite-horizon. L4DC 2024: 1688-1701 - [i9]Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi:
Infinite-Horizon Distributionally Robust Regret-Optimal Control. CoRR abs/2406.07248 (2024) - [i8]Hiroyasu Tsukamoto, Joshua D. Ibrahim, Joudi Hajar, James Ragan, Soon-Jo Chung, Fred Y. Hadaegh:
Robust Optimal Network Topology Switching for Zero Dynamics Attacks. CoRR abs/2407.18440 (2024) - [i7]Hiroyasu Tsukamoto, Joudi Hajar, Soon-Jo Chung, Fred Y. Hadaegh:
Regret-Optimal Defense Against Stealthy Adversaries: A System Level Approach. CoRR abs/2407.18448 (2024) - [i6]Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi:
Distributionally Robust Kalman Filtering over Finite and Infinite Horizon. CoRR abs/2407.18837 (2024) - [i5]Joudi Hajar, Taylan Kargin, Vikrant Malik, Babak Hassibi:
The Distributionally Robust Infinite-Horizon LQR. CoRR abs/2408.06230 (2024) - [i4]Vikrant Malik, Taylan Kargin, Joudi Hajar, Babak Hassibi:
Optimal Infinite-Horizon Mixed H2/H∞ Control. CoRR abs/2409.20020 (2024) - 2023
- [c3]Joudi Hajar, Taylan Kargin, Babak Hassibi:
Wasserstein Distributionally Robust Regret-Optimal Control under Partial Observability. Allerton 2023: 1-6 - [i3]Joudi Hajar, Oron Sabag, Babak Hassibi:
Regret-Optimal Control under Partial Observability. CoRR abs/2311.06433 (2023) - [i2]Taylan Kargin, Joudi Hajar, Vikrant Malik, Babak Hassibi:
Wasserstein Distributionally Robust Regret-Optimal Control in the Infinite-Horizon. CoRR abs/2312.17376 (2023) - 2022
- [c2]Nicolas Lanzetti, Joudi Hajar, Florian Dörfler:
Modeling of Political Systems using Wasserstein Gradient Flows. CDC 2022: 364-369 - [c1]Karim Hamadeh, Julia El Zini, Joudi Hajar, Mariette Awad:
MTMA-DDPG: A Deep Deterministic Policy Gradient Reinforcement Learning for Multi-task Multi-agent Environments. AIAI (1) 2022: 270-281 - [i1]Nicolas Lanzetti, Joudi Hajar, Florian Dörfler:
Modeling of Political Systems using Wasserstein Gradient Flows. CoRR abs/2209.05382 (2022)
Coauthor Index
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last updated on 2024-11-30 00:18 CET by the dblp team
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