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ORCIDHossein Nejatbakhsh Esfahani
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- 2026
[j4]Hossein Nejatbakhsh Esfahani
, Javad Mohammadpour Velni:
Reinforcement Learning-Enhanced Belief-Space Model Predictive Control for Motion Planning Under Uncertainty. IEEE Control. Syst. Lett. 10: 1591-1596 (2026)- 2025
- [i12]Hossein Nejatbakhsh Esfahani, Kai Liu, Javad Mohammadpour Velni:
Learning-based Distributed Model Predictive Control using Multi-Agent Bayesian Optimization. CoRR abs/2501.12989 (2025) - [i11]Hossein Nejatbakhsh Esfahani, Javad Mohammadpour Velni:
Intersection of Reinforcement Learning and Bayesian Optimization for Intelligent Control of Industrial Processes: A Safe MPC-based DPG using Multi-Objective BO. CoRR abs/2507.09864 (2025) - [i10]Sajad Ahmadi, Hossein Nejatbakhsh Esfahani, Javad Mohammadpour Velni:
Safe Robust Predictive Control-based Motion Planning of Automated Surface Vessels in Inland Waterways. CoRR abs/2509.06687 (2025) - 2024
- [b1]Hossein Nejatbakhsh Esfahani:
Reinforcement Learning-based Control and State Estimation using Model Predictive Control and Moving Horizon Estimation. Norwegian University of Science and Technology, Trondheim, Norway, 2024 - [j3]Hossein Nejatbakhsh Esfahani, Javad Mohammadpour Velni:
Cooperative Multi-Agent Q-Learning Using Distributed MPC. IEEE Control. Syst. Lett. 8: 2193-2198 (2024) - [j2]Hossein Nejatbakhsh Esfahani, Umesh Vaidya, Javad Mohammadpour Velni:
Performance-Oriented Data-Driven Control: Fusing Koopman Operator and MPC-Based Reinforcement Learning. IEEE Control. Syst. Lett. 8: 3021-3026 (2024) - [c10]Hossein Nejatbakhsh Esfahani, Sajad Ahmadi, Javad Mohammadpour Velni:
Learning-Based Safety Critical Model Predictive Control Using Stochastic Control Barrier Functions. ACC 2024: 1658-1663 - [c9]Hossein Nejatbakhsh Esfahani, Javad Mohammadpour Velni:
Safe MPC-based Motion Planning of AUVs Using MHE-based Approximate Robust Control Barrier Functions. MED 2024: 161-166 - 2023
- [j1]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) - 2022
- [c8]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sébastien Gros:
Quasi-Newton Iteration in Deterministic Policy Gradient. ACC 2022: 2124-2129 - [i9]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sebastien Gros:
Quasi-Newton Iteration in Deterministic Policy Gradient. CoRR abs/2203.13854 (2022) - [i8]Hossein Nejatbakhsh Esfahani, Sebastien Gros:
Policy Gradient Reinforcement Learning for Uncertain Polytopic LPV Systems based on MHE-MPC. CoRR abs/2206.05089 (2022) - 2021
- [c7]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros:
Reinforcement Learning based on Scenario-tree MPC for ASVs. ACC 2021: 1985-1990 - [c6]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros:
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics. ACC 2021: 2121-2126 - [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]Hossein Nejatbakhsh Esfahani, Behdad Aminian, Esten Ingar Grøtli, Sébastien Gros:
Backstepping-based Integral Sliding Mode Control with Time Delay Estimation for Autonomous Underwater Vehicles. ICAR 2021: 682-687 - [i7]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) - [i6]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) - [i5]Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Sebastien Gros:
Bias Correction in Deterministic Policy Gradient Using Robust MPC. CoRR abs/2104.02413 (2021) - [i4]Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sebastien Gros:
Approximate Robust NMPC using Reinforcement Learning. CoRR abs/2104.02743 (2021) - [i3]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) - [i2]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) - [i1]Hossein Nejatbakhsh Esfahani, Behdad Aminian, Esten Ingar Grøtli, Sebastien Gros:
Backstepping-based Integral Sliding Mode Control with Time Delay Estimation for Autonomous Underwater Vehicles. CoRR abs/2111.10179 (2021)
Coauthor Index
aka: Sébastien Gros
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