Cover Image

Model-Free $δ$-Policy Iteration Based on Damped Newton Method for Nonlinear Continuous-Time H$\infty$ Tracking Control

Fuente: arXiv

Saved in:

Bibliographic Details
Main Author:	Wang, Qi
Format:	Preprint
Published:	2024
Subjects:	Machine Learning
Online Access:	Acceder al recurso
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

A Novel Policy Iteration Algorithm for Nonlinear Continuous-Time H$\infty$ Control Problem
by: Wang, Qi
Published: (2024)

IFNSO: Iteration-Free Newton-Schulz Orthogonalization
by: Hu, Chen, et al.
Published: (2026)

Continuous Policy and Value Iteration for Stochastic Control Problems and Its Convergence
by: Feng, Qi, et al.
Published: (2025)

Statistical Theory of Multi-stage Newton Iteration Algorithm for Online Continual Learning
by: Lu, Xinjia, et al.
Published: (2025)

Higher-Order Newton Methods with Polynomial Work per Iteration
by: Ahmadi, Amir Ali, et al.
Published: (2023)

Continual Learning With Quasi-Newton Methods
by: Eeckt, Steven Vander, et al.
Published: (2025)

On the Design of Safe Continual RL Methods for Control of Nonlinear Systems
by: Coursey, Austin, et al.
Published: (2025)

A Policy Gradient-Based Sequence-to-Sequence Method for Time Series Prediction
by: Sima, Qi, et al.
Published: (2024)

Optimisation of Structured Neural Controller Based on Continuous-Time Policy Gradient
by: Cho, Namhoon, et al.
Published: (2022)

Accelerating Sinkhorn Algorithm with Sparse Newton Iterations
by: Tang, Xun, et al.
Published: (2024)

Policy Gradient Guidance Enables Test Time Control
by: Qi, Jianing, et al.
Published: (2025)

Reinforced Model Predictive Control via Trust-Region Quasi-Newton Policy Optimization
by: Brandner, Dean, et al.
Published: (2024)

Policy Newton methods for Distortion Riskmetrics
by: Pachal, Soumen, et al.
Published: (2025)

Adaptive Momentum and Nonlinear Damping for Neural Network Training
by: Karoni, Aikaterini, et al.
Published: (2026)

$\infty$-Video: A Training-Free Approach to Long Video Understanding via Continuous-Time Memory Consolidation
by: Santos, Saul, et al.
Published: (2025)

Iterative Model-Learning Scheme via Gaussian Processes for Nonlinear Model Predictive Control of (Semi-)Batch Processes
by: Tan, Tai Xuan, et al.
Published: (2026)

MMD-Newton Method for Multi-objective Optimization
by: Wang, Hao, et al.
Published: (2025)

Continuous-Time Value Iteration for Multi-Agent Reinforcement Learning
by: Wang, Xuefeng, et al.
Published: (2025)

Population-Free Pareto Tracking for Sample-Efficient Multi-Policy MORL
by: Zhao, Zeyu, et al.
Published: (2025)

Neural Dynamical Operator: Continuous Spatial-Temporal Model with Gradient-Based and Derivative-Free Optimization Methods
by: Chen, Chuanqi, et al.
Published: (2023)

Proximal Iteration for Nonlinear Adaptive Lasso
by: Wycoff, Nathan, et al.
Published: (2024)

PINS: Proximal Iterations with Sparse Newton and Sinkhorn for Optimal Transport
by: Wu, Di, et al.
Published: (2025)

Iterative Tuning of Nonlinear Model Predictive Control for Robotic Manufacturing Tasks
by: Ingole, Deepak, et al.
Published: (2025)

Boosting Continuous Control with Consistency Policy
by: Chen, Yuhui, et al.
Published: (2023)

A Nonlinear Acceleration Method for Iterative Algorithms
by: Shamsi, Mahdi, et al.
Published: (2019)

From Optimization to Control: Quasi Policy Iteration
by: Kolarijani, Mohammad Amin Sharifi, et al.
Published: (2023)

Last Iterate Convergence of Incremental Methods and Applications in Continual Learning
by: Cai, Xufeng, et al.
Published: (2024)

Policy Newton Algorithm in Reproducing Kernel Hilbert Space
by: Zhang, Yixian, et al.
Published: (2025)

Overcoming Slow Decision Frequencies in Continuous Control: Model-Based Sequence Reinforcement Learning for Model-Free Control
by: Patel, Devdhar, et al.
Published: (2024)

Spatially Aware Dictionary-Free Eigenfunction Identification for Modeling and Control of Nonlinear Dynamical Systems
by: Grasev, David
Published: (2025)

Nonlinear discretizations and Newton's method: characterizing stationary points of regression objectives
by: Rowan, Conor
Published: (2025)

Controllable Continual Test-Time Adaptation
by: Shi, Ziqi, et al.
Published: (2024)

Iterative Learning Control of Fast, Nonlinear, Oscillatory Dynamics (Preprint)
by: Brooks, John W., et al.
Published: (2024)

Model-Free Output Feedback Stabilization via Policy Gradient Methods
by: Zhang, Ankang, et al.
Published: (2026)

Memoryless Policy Iteration for Episodic POMDPs
by: van Zuijlen, Roy, et al.
Published: (2025)

Iterative Sampling Methods for Sinkhorn Distributionally Robust Optimization
by: Wang, Jie
Published: (2025)

A Specialized Semismooth Newton Method for Kernel-Based Optimal Transport
by: Lin, Tianyi, et al.
Published: (2023)

Gaussian-Mixture-Model Q-Functions for Policy Iteration in Reinforcement Learning
by: Vu, Minh, et al.
Published: (2025)

Neural-Initialized Newton: Accelerating Nonlinear Finite Elements via Operator Learning
by: Taghikhani, Kianoosh, et al.
Published: (2025)

Stochastic Newton Proximal Extragradient Method
by: Jiang, Ruichen, et al.
Published: (2024)