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Central Limit Theorem for Two-Timescale Stochastic Approximation with
  Markovian Noise: Theory and Applications

Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications

17 January 2024
Jie Hu
Vishwaraj Doshi
Do Young Eun
ArXivPDFHTML

Papers citing "Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications"

5 / 5 papers shown
Title
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
R. Srikant
22
5
0
28 Jan 2024
Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving
  $O(1/k)$ Finite-Sample Complexity
Fast Nonlinear Two-Time-Scale Stochastic Approximation: Achieving O(1/k)O(1/k)O(1/k) Finite-Sample Complexity
Thinh T. Doan
30
7
0
23 Jan 2024
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
Tight Finite Time Bounds of Two-Time-Scale Linear Stochastic Approximation with Markovian Noise
Shaan ul Haque
S. Khodadadian
S. T. Maguluri
37
11
0
31 Dec 2023
Efficiency Ordering of Stochastic Gradient Descent
Efficiency Ordering of Stochastic Gradient Descent
Jie Hu
Vishwaraj Doshi
Do Young Eun
20
6
0
15 Sep 2022
A Two-Time-Scale Stochastic Optimization Framework with Applications in
  Control and Reinforcement Learning
A Two-Time-Scale Stochastic Optimization Framework with Applications in Control and Reinforcement Learning
Sihan Zeng
Thinh T. Doan
J. Romberg
63
22
0
29 Sep 2021
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