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ORCIDArash Bahari Kordabad
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2020 – today
- 2024
[j4]Arash Bahari Kordabad
, Mario Zanon, Sebastien Gros:
Equivalence of Optimality Criteria for Markov Decision Process and Model Predictive Control. IEEE Trans. Autom. Control. 69(2): 1149-1156 (2024)- [c14]Arash Bahari Kordabad, Maria Charitidou, Dimos V. Dimarogonas, Sadegh Soudjani:
Control Barrier Functions for Stochastic Systems under Signal Temporal Logic Tasks. ECC 2024: 3213-3219 - [i14]Arash Bahari Kordabad, Andrea Da Col, Arabinda Ghosh, Sybert Stroeve, Sadegh Soudjani:
Robust Model Predictive Control for Aircraft Intent-Aware Collision Avoidance. CoRR abs/2408.06999 (2024) - [i13]Arash Bahari Kordabad, Eleftherios E. Vlahakis, Lars Lindemann, Dimos V. Dimarogonas, Sadegh Soudjani:
Distributionally Robust Control for Chance-Constrained Signal Temporal Logic Specifications. CoRR abs/2409.03855 (2024) - 2023
- [j3]Wenqi Cai, Arash Bahari Kordabad, Sébastien Gros:
Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value. Eng. Appl. Artif. Intell. 119: 105793 (2023) - [j2]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
Learning-based state estimation and control using MHE and MPC schemes with imperfect models. Eur. J. Control 73: 100880 (2023) - [c13]Shambhuraj Sawant, Dirk Reinhardt, Arash Bahari Kordabad, Sebastien Gros:
Model-Free Data-Driven Predictive Control Using Reinforcement Learning. CDC 2023: 4046-4052 - [c12]Arash Bahari Kordabad, Sebastien Gros:
Continuous-time Chance-constrained Stochastic Model Predictive Control using Multiple Shooting and CVaR. ECC 2023: 1-6 - [c11]Arash Bahari Kordabad, Sebastien Gros:
Bias Correction of Discounted Optimal Steady-State using Cost Modification. ECC 2023: 1-6 - 2022
- [j1]Arash Bahari Kordabad, Rafael Wisniewski, Sebastien Gros:
Safe Reinforcement Learning Using Wasserstein Distributionally Robust MPC and Chance Constraint. IEEE Access 10: 130058-130067 (2022) - [c10]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sébastien Gros:
Quasi-Newton Iteration in Deterministic Policy Gradient. ACC 2022: 2124-2129 - [c9]Arash Bahari Kordabad, Sebastien Gros:
Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory. ECC 2022: 1858-1863 - [i12]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sebastien Gros:
Quasi-Newton Iteration in Deterministic Policy Gradient. CoRR abs/2203.13854 (2022) - [i11]Arash Bahari Kordabad, Sebastien Gros:
Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory. CoRR abs/2203.16989 (2022) - [i10]Arash Bahari Kordabad, Mario Zanon, Sebastien Gros:
Equivalency of Optimality Criteria of Markov Decision Process and Model Predictive Control. CoRR abs/2210.04302 (2022) - 2021
- [c8]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros:
Reinforcement Learning based on Scenario-tree MPC for ASVs. ACC 2021: 1985-1990 - [c7]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros:
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics. ACC 2021: 2121-2126 - [c6]Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
Multi-agent Battery Storage Management using MPC-based Reinforcement Learning. CCTA 2021: 57-62 - [c5]Wenqi Cai, Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros:
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles. CDC 2021: 2990-2995 - [c4]Wenqi Cai, Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros:
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning. CDC 2021: 6365-6370 - [c3]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros:
Approximate Robust NMPC using Reinforcement Learning. ECC 2021: 132-137 - [c2]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Sebastien Gros:
Bias Correction in Deterministic Policy Gradient Using Robust MPC. ECC 2021: 1086-1091 - [c1]Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage. ECC 2021: 2573-2578 - [i9]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sebastien Gros:
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics. CoRR abs/2103.11871 (2021) - [i8]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros:
Reinforcement Learning based on Scenario-tree MPC for ASVs. CoRR abs/2103.11949 (2021) - [i7]Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage. CoRR abs/2104.02411 (2021) - [i6]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Sebastien Gros:
Bias Correction in Deterministic Policy Gradient Using Robust MPC. CoRR abs/2104.02413 (2021) - [i5]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sebastien Gros:
Approximate Robust NMPC using Reinforcement Learning. CoRR abs/2104.02743 (2021) - [i4]Arash Bahari Kordabad, Sebastien Gros:
Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning. CoRR abs/2105.11313 (2021) - [i3]Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros:
Multi-agent Battery Storage Management using MPC-based Reinforcement Learning. CoRR abs/2106.03541 (2021) - [i2]Wenqi Cai, Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sebastien Gros:
MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles. CoRR abs/2106.08634 (2021) - [i1]Wenqi Cai, Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros:
Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning. CoRR abs/2108.01459 (2021)
Coauthor Index
aka: Sébastien Gros
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