Arash Bahari Kordabad

Publication Activity (10 Years)

Years Active: 2021-2024
Publications (10 Years): 30

Top Topics

Reinforcement Learning

Bias Correction

Markov Decision Process

Partially Observable

Top Venues

Publications

Arash Bahari Kordabad, Maria Charitidou, Dimos V. Dimarogonas, Sadegh Soudjani
Control Barrier Functions for Stochastic Systems under Signal Temporal Logic Tasks. ECC (2024)
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) (2024)
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 (2023)
Arash Bahari Kordabad, Sebastien Gros
Continuous-time Chance-constrained Stochastic Model Predictive Control using Multiple Shooting and CVaR. ECC (2023)
Shambhuraj Sawant, Dirk Reinhardt, Arash Bahari Kordabad, Sebastien Gros
Model-Free Data-Driven Predictive Control Using Reinforcement Learning. CDC (2023)
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 (2023)
Arash Bahari Kordabad, Sebastien Gros
Bias Correction of Discounted Optimal Steady-State using Cost Modification. ECC (2023)
Arash Bahari Kordabad, Rafael Wisniewski, Sebastien Gros
Safe Reinforcement Learning Using Wasserstein Distributionally Robust MPC and Chance Constraint. IEEE Access 10 (2022)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sebastien Gros
Quasi-Newton Iteration in Deterministic Policy Gradient. CoRR (2022)
Arash Bahari Kordabad, Mario Zanon, Sebastien Gros
Equivalency of Optimality Criteria of Markov Decision Process and Model Predictive Control. CoRR (2022)
Arash Bahari Kordabad, Sebastien Gros
Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory. CoRR (2022)
Arash Bahari Kordabad, Sebastien Gros
Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory. ECC (2022)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Wenqi Cai, Sébastien Gros
Quasi-Newton Iteration in Deterministic Policy Gradient. ACC (2022)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros
Reinforcement Learning based on Scenario-tree MPC for ASVs. CoRR (2021)
Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics. ACC (2021)
Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage. CoRR (2021)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Anastasios M. Lekkas, Sébastien Gros
Reinforcement Learning based on Scenario-tree MPC for ASVs. ACC (2021)
Arash Bahari Kordabad, Sebastien Gros
Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning. CoRR (2021)
Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sébastien Gros
Approximate Robust NMPC using Reinforcement Learning. ECC (2021)
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)
Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sebastien Gros
Approximate Robust NMPC using Reinforcement Learning. CoRR (2021)
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)
Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros
MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage. ECC (2021)
Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros
Multi-agent Battery Storage Management using MPC-based Reinforcement Learning. CCTA (2021)
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 (2021)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Sebastien Gros
Bias Correction in Deterministic Policy Gradient Using Robust MPC. CoRR (2021)
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 (2021)
Arash Bahari Kordabad, Hossein Nejatbakhsh Esfahani, Sebastien Gros
Bias Correction in Deterministic Policy Gradient Using Robust MPC. ECC (2021)
Arash Bahari Kordabad, Wenqi Cai, Sebastien Gros
Multi-agent Battery Storage Management using MPC-based Reinforcement Learning. CoRR (2021)
Hossein Nejatbakhsh Esfahani, Arash Bahari Kordabad, Sebastien Gros
Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics. CoRR (2021)