:: Library Catalog

Cover Image

Saved in:

Bibliographic Details
Main Authors:	Banker, Thomas, Lawrence, Nathan P., Mesbah, Ali
Format:	Preprint
Published:	2025
Subjects:	Systems and Control
Online Access:	https://arxiv.org/abs/2503.13289
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

MPCritic: A plug-and-play MPC architecture for reinforcement learning
by: Lawrence, Nathan P., et al.
Published: (2025)

Model-free Reinforcement Learning for Model-based Control: Towards Safe, Interpretable and Sample-efficient Agents
by: Banker, Thomas, et al.
Published: (2025)

Soft MPCritic: Amortized Model Predictive Value Iteration
by: Banker, Thomas, et al.
Published: (2026)

A view on learning robust goal-conditioned value functions: Interplay between RL and MPC
by: Lawrence, Nathan P., et al.
Published: (2025)

Stability-informed Bayesian Optimization for MPC Cost Function Learning
by: Hirt, Sebastian, et al.
Published: (2024)

Imitation Learning of MPC with Neural Networks: Error Guarantees and Sparsification
by: Alsmeier, Hendrik, et al.
Published: (2025)

Lyapunov Neural ODE State-Feedback Control Policies
by: Ip, Joshua Hang Sai, et al.
Published: (2024)

MPC-Inspired Reinforcement Learning for Verifiable Model-Free Control
by: Lu, Yiwen, et al.
Published: (2023)

Hierarchical Reinforcement Learning with Low-Level MPC for Multi-Agent Control
by: Studt, Max, et al.
Published: (2025)

Safe Reinforcement Learning Using Robust MPC
by: Zanon, Mario, et al.
Published: (2019)

SINDy-RL: Interpretable and Efficient Model-Based Reinforcement Learning
by: Zolman, Nicholas, et al.
Published: (2024)

On Building Myopic MPC Policies using Supervised Learning
by: Orrico, Christopher A., et al.
Published: (2024)

Reinforcement Learning with Distributed MPC for Fuel-Efficient Platoon Control with Discrete Gear Transitions
by: Mallick, Samuel, et al.
Published: (2026)

Performance guaranteed MPC Policy Approximation via Cost Guided Learning
by: Zhou, Chenchen, et al.
Published: (2026)

Why Goal-Conditioned Reinforcement Learning Works: Relation to Dual Control
by: Lawrence, Nathan P., et al.
Published: (2025)

Learning-Augmented Control: Adaptively Confidence Learning for Competitive MPC
by: Li, Tongxin
Published: (2025)

MPC4RL -- A Software Package for Reinforcement Learning based on Model Predictive Control
by: Reinhardt, Dirk, et al.
Published: (2025)

Learning safety in model-based Reinforcement Learning using MPC and Gaussian Processes
by: Airaldi, Filippo, et al.
Published: (2022)

Prediction-Based Control Barrier Functions for Input-Constrained Safety Critical Systems
by: Mesbah, Ali, et al.
Published: (2024)

Implicit Constraint-Aware Off-Policy Correction for Offline Reinforcement Learning
by: Baheri, Ali
Published: (2025)

AC4MPC: Actor-Critic Reinforcement Learning for Nonlinear Model Predictive Control
by: Reiter, Rudolf, et al.
Published: (2024)

Concurrent Learning of Policy and Unknown Safety Constraints in Reinforcement Learning
by: Yifru, Lunet, et al.
Published: (2024)

Guiding Reinforcement Learning with Incomplete System Dynamics
by: Wang, Shuyuan, et al.
Published: (2024)

Imperative MPC: An End-to-End Self-Supervised Learning with Differentiable MPC for UAV Attitude Control
by: He, Haonan, et al.
Published: (2025)

Learning-based Homothetic Tube MPC
by: Gao, Yulong, et al.
Published: (2025)

Learning Soft Constrained MPC Value Functions: Efficient MPC Design and Implementation providing Stability and Safety Guarantees
by: Chatzikiriakos, Nicolas, et al.
Published: (2024)

Autonomous Vehicle Lateral Control Using Deep Reinforcement Learning with MPC-PID Demonstration
by: Wu, Chengdong, et al.
Published: (2025)

MPC Based Linear Equivalence with Control Barrier Functions for VTOL-UAVs
by: Ali, Ali Mohamed, et al.
Published: (2024)

Multi-Agent Reinforcement Learning via Distributed MPC as a Function Approximator
by: Mallick, Samuel, et al.
Published: (2023)

Deep Reinforcement Learning with Local Interpretability for Transparent Microgrid Resilience Energy Management
by: Amiri, Mohammad Hossein Nejati, et al.
Published: (2025)

Reinforcement Learning based Constrained Optimal Control: an Interpretable Reward Design
by: Ni, Jingjie, et al.
Published: (2025)

Learning Hybrid Policies for MPC with Application to Drone Flight in Unknown Dynamic Environments
by: Feng, Zhaohan, et al.
Published: (2024)

Reinforcement Learning with Partial Parametric Model Knowledge
by: Wang, Shuyuan, et al.
Published: (2023)

From Explainability to Interpretability: Interpretable Policies in Reinforcement Learning Via Model Explanation
by: Li, Peilang, et al.
Published: (2025)

On the Standard Performance Criteria for Applied Control Design: PID, MPC or Machine Learning Controller?
by: Sarhadi, Pouria
Published: (2025)

The Separation Principle and the Dual-Certainty Equivalence Gap in Model Predictive Control
by: Baltussen, Tren, et al.
Published: (2026)

A Linear MPC with Control Barrier Functions for Differential Drive Robots
by: Ali, Ali Mohamed, et al.
Published: (2024)

DeepSafeMPC: Deep Learning-Based Model Predictive Control for Safe Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2024)

DiffOP: Reinforcement Learning of Optimization-Based Control Policies via Implicit Policy Gradients
by: Bian, Yuexin, et al.
Published: (2024)

DiffTune-MPC: Closed-Loop Learning for Model Predictive Control
by: Tao, Ran, et al.
Published: (2023)