Reinforcement Learning based on MPC/MHE for Unmodeled and Partially Observable Dynamics. - Hossein Nejatbakhsh Esfahani; Arash Bahari Kordabad; Sébastien Gros (ACC, 2021)

Reinforcement Learning based on Scenario-tree MPC for ASVs. - Arash Bahari Kordabad; Hossein Nejatbakhsh Esfahani; Anastasios M. Lekkas; Sébastien Gros (ACC, 2021)

Multi-agent Battery Storage Management using MPC-based Reinforcement Learning. - Arash Bahari Kordabad; Wenqi Cai; Sebastien Gros (CCTA, 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 (CDC, 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 (CDC, 2021)

Approximate Robust NMPC using Reinforcement Learning. - Hossein Nejatbakhsh Esfahani; Arash Bahari Kordabad; Sébastien Gros (ECC, 2021)

MPC-based Reinforcement Learning for Economic Problems with Application to Battery Storage. - Arash Bahari Kordabad; Wenqi Cai; Sebastien Gros (ECC, 2021)

Bias Correction in Deterministic Policy Gradient Using Robust MPC. - Arash Bahari Kordabad; Hossein Nejatbakhsh Esfahani; Sebastien Gros (ECC, 2021)

Verification of Dissipativity and Evaluation of Storage Function in Economic Nonlinear MPC using Q-Learning. - Arash Bahari Kordabad; Sebastien Gros (CoRR, 2021)

Quasi-Newton Iteration in Deterministic Policy Gradient. - Arash Bahari Kordabad; Hossein Nejatbakhsh Esfahani; Wenqi Cai; Sébastien Gros (ACC, 2022)

Functional Stability of Discounted Markov Decision Processes Using Economic MPC Dissipativity Theory. - Arash Bahari Kordabad; Sebastien Gros (ECC, 2022)

Safe Reinforcement Learning Using Wasserstein Distributionally Robust MPC and Chance Constraint. - Arash Bahari Kordabad; Rafael Wisniewski; Sebastien Gros (IEEE Access, 2022)

Equivalency of Optimality Criteria of Markov Decision Process and Model Predictive Control. - Arash Bahari Kordabad; Mario Zanon; Sebastien Gros (CoRR, 2022)

Model-Free Data-Driven Predictive Control Using Reinforcement Learning. - Shambhuraj Sawant; Dirk Reinhardt; Arash Bahari Kordabad; Sebastien Gros (CDC, 2023)

Continuous-time Chance-constrained Stochastic Model Predictive Control using Multiple Shooting and CVaR. - Arash Bahari Kordabad; Sebastien Gros (ECC, 2023)

Bias Correction of Discounted Optimal Steady-State using Cost Modification. - Arash Bahari Kordabad; Sebastien Gros (ECC, 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., 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, 2023)

Distributionally Robust Control for Chance-Constrained Signal Temporal Logic Specifications. - Arash Bahari Kordabad; Eleftherios E. Vlahakis; Lars Lindemann; Dimos V. Dimarogonas; Sadegh Soudjani (CDC, 2024)

Control Barrier Functions for Stochastic Systems under Signal Temporal Logic Tasks. - Arash Bahari Kordabad; Maria Charitidou; Dimos V. Dimarogonas; Sadegh Soudjani (ECC, 2024)

Robust Model Predictive Control for Aircraft Intent-Aware Collision Avoidance. - Arash Bahari Kordabad; Andrea Da Col; Arabinda Ghosh; Sybert Stroeve; Sadegh Soudjani (CoRR, 2024)

Equivalence of Optimality Criteria for Markov Decision Process and Model Predictive Control. - Arash Bahari Kordabad; Mario Zanon; Sebastien Gros (IEEE Trans. Autom. Control., 2024)

Data-Driven Distributionally Robust Control for Interacting Agents under Logical Constraints. - Arash Bahari Kordabad; Eleftherios E. Vlahakis; Lars Lindemann; Sebastien Gros; Dimos V. Dimarogonas; Sadegh Soudjani (CoRR, 2025)

Intent-Aware MPC for Aircraft Detect-and-Avoid with Response Delay: A Comparative Study with ACAS Xu. - Arash Bahari Kordabad; Arabinda Ghosh; Sybert Stroeve; Sadegh Soudjani (CoRR, 2025)

On Certificates for Almost Sure Reachability in Stochastic Systems. - Arash Bahari Kordabad; Rupak Majumdar; Harshit J. Motwani; Sadegh Soudjani (CoRR, 2025)