Stochastic Approximation: Theory and Applications (Intro)

Stochastic Approximation: Theory and Applications (Intro)

Lec 01 Overview of Stochastic ApproximationПодробнее

Lec 01 Overview of Stochastic Approximation

Ants, urns, and stochastic approximationsПодробнее

Ants, urns, and stochastic approximations

Stochastic approximation: a surveyПодробнее

Stochastic approximation: a survey

Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable ModelsПодробнее

Joint Stochastic Approximation and Its Application to Learning Discrete Latent Variable Models

Lecture 8_ Exploring Stochastic Approximation Theorem & ODE ProofПодробнее

Lecture 8_ Exploring Stochastic Approximation Theorem & ODE Proof

Pascal Bianchi: A dynamical system viewpoint on stochastic approximation methodsПодробнее

Pascal Bianchi: A dynamical system viewpoint on stochastic approximation methods

Stochastic approximation algorithms with set-valued mapsПодробнее

Stochastic approximation algorithms with set-valued maps

STOCHASTIC Gradient Descent (in 3 minutes)Подробнее

STOCHASTIC Gradient Descent (in 3 minutes)

Finite Sample Analysis of Two-Timescale Stochastic ApproximationПодробнее

Finite Sample Analysis of Two-Timescale Stochastic Approximation

Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-LearningПодробнее

Finite-Time Analysis of Asynchronous Stochastic Approximation and Q-Learning

Stochastic Approximation and Reinforcement Learning: Hidden Theory and New Super-Fast AlgorithmsПодробнее

Stochastic Approximation and Reinforcement Learning: Hidden Theory and New Super-Fast Algorithms

Batch Asynchronous Stochastic Approximation and Applications to Temporal Difference LearningПодробнее

Batch Asynchronous Stochastic Approximation and Applications to Temporal Difference Learning

Stochastic Approximation: An IntroductionПодробнее

Stochastic Approximation: An Introduction

Simultaneous perturbation stochastic approximationПодробнее

Simultaneous perturbation stochastic approximation

A Tutorial on Finite-Sample Guarantees of Contractive Stochastic Approximation With...Подробнее

A Tutorial on Finite-Sample Guarantees of Contractive Stochastic Approximation With...

Zap Stochastic Approximation and Reinforcement LearningПодробнее

Zap Stochastic Approximation and Reinforcement Learning

L6: Stochastic Approximation and SGD (P4-SGD algorithm: introduction) —Math Foundations of RLПодробнее

L6: Stochastic Approximation and SGD (P4-SGD algorithm: introduction) —Math Foundations of RL

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