Cover Image

Stability-Certified On-Policy Data-Driven LQR via Recursive Learning and Policy Gradient

Fuente: arXiv

Saved in:

Bibliographic Details
Main Authors:	Sforni, Lorenzo, Carnevale, Guido, Notarnicola, Ivano, Notarstefano, Giuseppe
Format:	Preprint
Published:	2024
Subjects:	Systems and Control
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Data-Driven LQR with Finite-Time Experiments via Extremum-Seeking Policy Iteration
by: Carnevale, Guido, et al.
Published: (2024)

Data-Driven Distributed Optimization via Aggregative Tracking and Deep-Learning
by: Brumali, Riccardo, et al.
Published: (2025)

MR-ARL: Model Reference Adaptive Reinforcement Learning for Robustly Stable On-Policy Data-Driven LQR
by: Borghesi, Marco, et al.
Published: (2024)

DATA-DRIVEN PRONTO: a Model-free Solution for Numerical Optimal Control
by: Borghesi, Marco, et al.
Published: (2025)

Safe Control of Feedback-Interconnected Systems via Singular Perturbations
by: Di Gregorio, Stefano, et al.
Published: (2026)

Nonconvex Distributed Feedback Optimization for Aggregative Cooperative Robotics
by: Carnevale, Guido, et al.
Published: (2023)

Nonlinear MPC for Feedback-Interconnected Systems: a Suboptimal and Reduced-Order Model Approach
by: Di Gregorio, Stefano, et al.
Published: (2025)

Extremum Seeking Tracking for Derivative-free Distributed Optimization
by: Mimmo, Nicola, et al.
Published: (2021)

Multi-Robot Target Monitoring and Encirclement via Triggered Distributed Feedback Optimization
by: Pichierri, Lorenzo, et al.
Published: (2024)

Accelerated ADMM: Automated Parameter Tuning and Improved Linear Convergence
by: Tavakoli, Meisam, et al.
Published: (2025)

Policy Gradient Bounds in Multitask LQR
by: Stamouli, Charis, et al.
Published: (2025)

On Sufficient Richness for Linear Time-Invariant Systems
by: Borghesi, Marco, et al.
Published: (2025)

Tracking-based distributed equilibrium seeking for aggregative games
by: Carnevale, Guido, et al.
Published: (2022)

Distributed equilibrium seeking in aggregative games: linear convergence under singular perturbations lens
by: Carnevale, Guido, et al.
Published: (2025)

Policy Gradient for LQR with Domain Randomization
by: Fujinami, Tesshu, et al.
Published: (2025)

Policy Gradient Adaptive Control for the LQR: Indirect and Direct Approaches
by: Zhao, Feiran, et al.
Published: (2025)

ADMM-Tracking Gradient for Distributed Optimization over Asynchronous and Unreliable Networks
by: Carnevale, Guido, et al.
Published: (2023)

Convergence Guarantees of Model-free Policy Gradient Methods for LQR with Stochastic Data
by: Song, Bowen, et al.
Published: (2025)

Data-Enabled Policy Optimization for Direct Adaptive Learning of the LQR
by: Zhao, Feiran, et al.
Published: (2024)

Data-Driven Stabilization of Continuous-Time LTI Systems from Noisy Input-Output Data
by: Bosso, Alessandro, et al.
Published: (2025)

A Stochastic Gradient Descent Approach to Design Policy Gradient Methods for LQR
by: Song, Bowen, et al.
Published: (2026)

A Unifying System Theory Framework for Distributed Optimization and Games
by: Carnevale, Guido, et al.
Published: (2024)

A Tutorial on Distributed Optimization for Cooperative Robotics: from Setups and Algorithms to Toolboxes and Research Directions
by: Testa, Andrea, et al.
Published: (2023)

Policy Gradient Methods for the Cost-Constrained LQR: Strong Duality and Global Convergence
by: Zhao, Feiran, et al.
Published: (2024)

On Globally Optimal Stochastic Policy Gradient Methods for Domain Randomized LQR Synthesis
by: Nguyen-Le, Alex, et al.
Published: (2026)

Sample-Efficient Model-Free Policy Gradient Methods for Stochastic LQR via Robust Linear Regression
by: Song, Bowen, et al.
Published: (2025)

Revisiting LQR Control from the Perspective of Receding-Horizon Policy Gradient
by: Zhang, Xiangyuan, et al.
Published: (2023)

Data-Driven Control of Continuous-Time LTI Systems via Non-Minimal Realizations
by: Bosso, Alessandro, et al.
Published: (2025)

On Reward-Balancing Methods for Reinforcement Learning
by: Baroncini, Simone, et al.
Published: (2026)

Derivative-Free Data-Driven Control of Continuous-Time Linear Time-Invariant Systems
by: Bosso, Alessandro, et al.
Published: (2024)

A Distributed Bilevel Framework for the Macroscopic Optimization of Multi-Agent Systems
by: Brumali, Riccardo, et al.
Published: (2026)

Certifying Stability of Reinforcement Learning Policies using Generalized Lyapunov Functions
by: Long, Kehan, et al.
Published: (2025)

Modular Distributed Nonconvex Learning with Error Feedback
by: Carnevale, Guido, et al.
Published: (2025)

A Bayesian Perspective on the Data-Driven LQR
by: Schwaller, Thierry, et al.
Published: (2026)

Harnessing Data from Clustered LQR Systems: Personalized and Collaborative Policy Optimization
by: Kanakeri, Vinay, et al.
Published: (2025)

Affine-coupled Distributed Optimization via Distributed Proximal Jacobian ADMM with Quantized Communication
by: Du, Xu, et al.
Published: (2026)

On the (almost) Global Exponential Convergence of the Overparameterized Policy Optimization for the LQR Problem
by: Wafi, Moh Kamalul, et al.
Published: (2025)

On the Effect of Quadratic Regularization in Direct Data-Driven LQR
by: Klädtke, Manuel, et al.
Published: (2026)

Small-Disturbance Input-to-State Stability of Perturbed Gradient Flows: Applications to LQR Problem
by: Cui, Leilei, et al.
Published: (2023)

Noise Sensitivity of the Semidefinite Programs for Direct Data-Driven LQR
by: Zeng, Xiong, et al.
Published: (2024)