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2401.15719
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Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning
28 January 2024
R. Srikant
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Papers citing
"Rates of Convergence in the Central Limit Theorem for Markov Chains, with an Application to TD Learning"
4 / 4 papers shown
Title
Does Worst-Performing Agent Lead the Pack? Analyzing Agent Dynamics in Unified Distributed SGD
Jie Hu
Yi-Ting Ma
Do Young Eun
FedML
22
0
0
26 Sep 2024
Gaussian Approximation and Multiplier Bootstrap for Polyak-Ruppert Averaged Linear Stochastic Approximation with Applications to TD Learning
S. Samsonov
Eric Moulines
Qi-Man Shao
Zhuo-Song Zhang
Alexey Naumov
25
4
0
26 May 2024
Central Limit Theorem for Two-Timescale Stochastic Approximation with Markovian Noise: Theory and Applications
Jie Hu
Vishwaraj Doshi
Do Young Eun
28
4
0
17 Jan 2024
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
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