Arash Bahari Kordabad

According to our database, Arash Bahari Kordabad authored at least 19 papers between 2021 and 2024.

Collaborative distances:

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

2024

Equivalence of Optimality Criteria for Markov Decision Process and Model Predictive Control.

Arash Bahari Kordabad, Mario Zanon, Sebastien Gros

IEEE Trans. Autom. Control., February, 2024

2023

Learning-based state estimation and control using MHE and MPC schemes with imperfect models.

Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros

Eur. J. Control, September, 2023

Energy management in residential microgrid using model predictive control-based reinforcement learning and Shapley value.

Wenqi Cai, Arash Bahari Kordabad, Sébastien Gros

Eng. Appl. Artif. Intell., March, 2023

Bias Correction of Discounted Optimal Steady-State using Cost Modification.

Arash Bahari Kordabad, Sebastien Gros

Proceedings of the European Control Conference, 2023

Continuous-time Chance-constrained Stochastic Model Predictive Control using Multiple Shooting and CVaR.

Arash Bahari Kordabad, Sebastien Gros

Proceedings of the European Control Conference, 2023

Model-Free Data-Driven Predictive Control Using Reinforcement Learning.

Shambhuraj Sawant, Dirk Reinhardt, Arash Bahari Kordabad, Sebastien Gros

Proceedings of the 62nd IEEE Conference on Decision and Control, 2023

2022

Equivalency of Optimality Criteria of Markov Decision Process and Model Predictive Control.

Arash Bahari Kordabad, Mario Zanon, Sebastien Gros

CoRR, 2022

Safe Reinforcement Learning Using Wasserstein Distributionally Robust MPC and Chance Constraint.

Arash Bahari Kordabad, Rafael Wisniewski, Sebastien Gros

IEEE Access, 2022

Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory.

Arash Bahari Kordabad, Sebastien Gros

Proceedings of the European Control Conference, 2022

Quasi-Newton Iteration in Deterministic Policy Gradient.

Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sébastien Gros

Proceedings of the American Control Conference, 2022

2021

Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning.

Arash Bahari Kordabad, Sebastien Gros

CoRR, 2021

Bias Correction in Deterministic Policy Gradient Using Robust MPC.

Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Sebastien Gros

Proceedings of the 2021 European Control Conference, 2021

MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage.

Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros

Proceedings of the 2021 European Control Conference, 2021

Approximate Robust NMPC using Reinforcement Learning.

Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros

Proceedings of the 2021 European Control Conference, 2021

MPC-based Reinforcement Learning for a Simplified Freight Mission of Autonomous Surface Vehicles.

Wenqi Cai, Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Optimal Management of the Peak Power Penalty for Smart Grids Using MPC-based Reinforcement Learning.

Wenqi Cai, Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros

Proceedings of the 2021 60th IEEE Conference on Decision and Control (CDC), 2021

Multi-agent Battery Storage Management using MPC-based Reinforcement Learning.

Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros

Proceedings of the IEEE Conference on Control Technology and Applications, 2021

Reinforcement Learning based on Scenario-tree MPC for ASVs.

Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros

Proceedings of the 2021 American Control Conference, 2021

Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics.

Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros

Proceedings of the 2021 American Control Conference, 2021