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Linear Stochastic Approximation: Constant Step-Size and Iterate
  Averaging

Linear Stochastic Approximation: Constant Step-Size and Iterate Averaging

12 September 2017
Chandrashekar Lakshminarayanan
Csaba Szepesvári
ArXivPDFHTML

Papers citing "Linear Stochastic Approximation: Constant Step-Size and Iterate Averaging"

5 / 5 papers shown
Title
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
44
11
0
31 Dec 2023
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup
  under Markovian Sampling
Federated TD Learning over Finite-Rate Erasure Channels: Linear Speedup under Markovian Sampling
Nicolò Dal Fabbro
A. Mitra
George J. Pappas
FedML
40
12
0
14 May 2023
n-Step Temporal Difference Learning with Optimal n
n-Step Temporal Difference Learning with Optimal n
Lakshmi Mandal
S. Bhatnagar
34
2
0
13 Mar 2023
Federated Temporal Difference Learning with Linear Function
  Approximation under Environmental Heterogeneity
Federated Temporal Difference Learning with Linear Function Approximation under Environmental Heterogeneity
Han Wang
A. Mitra
Hamed Hassani
George J. Pappas
James Anderson
FedML
31
21
0
04 Feb 2023
Iterate averaging as regularization for stochastic gradient descent
Iterate averaging as regularization for stochastic gradient descent
Gergely Neu
Lorenzo Rosasco
MoMe
42
61
0
22 Feb 2018
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