Stochastic approximation

Noisy-Output-Based Direct Learning Tracking Control With Markov Nonuniform Trial Lengths Using Adaptive Gains

Dong Shen, Samer S. Saab

Citations: 51 • 2021

Distributed Localization for Multi-Agent Systems With Random Noise Based on Iterative Learning

Yunkai Lv, Hao Zhang, Zhuping Wang, Huaicheng Yan

Citations: 24 • 2022

Imitation learning-driven approximation of stochastic control models

Andrea Pozzi, Alessandro Incremona, Daniele Toti

Citations: 24 • 2025

Online Expectation Maximization algorithm to solve the SLAM problem

Sylvain Le Corff, Gersende Fort, Éric Moulines

Citations: 19 • 2011

High-Dimensional Nonconvex Stochastic Optimization by Doubly Stochastic Successive Convex Approximation

Aryan Mokhtari, Alec Koppel

Citations: 11 • 2020

Multiple Model Q-Learning for Stochastic Asynchronous Rewards

J. S. Campbell, Sidney Givigi, Howard M. Schwartz

Citations: 11 • 2015

Self-organizing hierarchical incremental learning framework and universal approximation analysis based on stochastic configuration mechanism

Bao Shi, Yongsheng Ou, Degang Wang, Guoliang Zhao

Citations: 5 • 2024

Incrementally Stochastic and Accelerated Gradient Information Mixed Optimization for Manipulator Motion Planning

Yichang Feng, Jin Wang, Haiyun Zhang, Guodong Lu

Citations: 3 • 2022

Agreement on stochastic multi-robot systems with communication failures

Fayette W. Shaw, Albert Chiu, James McLurkin

Citations: 2 • 2010