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High-probability sample complexities for policy evaluation with linear
  function approximation
v1v2 (latest)

High-probability sample complexities for policy evaluation with linear function approximation

IEEE Transactions on Information Theory (IEEE Trans. Inf. Theory), 2023
30 May 2023
Gen Li
Weichen Wu
Yuejie Chi
Cong Ma
Alessandro Rinaldo
Yuting Wei
    OffRL
ArXiv (abs)PDFHTML

Papers citing "High-probability sample complexities for policy evaluation with linear function approximation"

7 / 7 papers shown
Accelerated Distributional Temporal Difference Learning with Linear Function Approximation
Accelerated Distributional Temporal Difference Learning with Linear Function Approximation
Kaicheng Jin
Yang Peng
Jiansheng Yang
Zhihua Zhang
60
0
0
16 Nov 2025
A Temporal Difference Method for Stochastic Continuous Dynamics
A Temporal Difference Method for Stochastic Continuous Dynamics
Haruki Settai
Naoya Takeishi
Takehisa Yairi
524
0
0
21 May 2025
Enhancing Stochastic Optimization for Statistical Efficiency Using
  ROOT-SGD with Diminishing Stepsize
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize
Tong Zhang
Chris Junchi Li
305
0
0
15 Jul 2024
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
SCAFFLSA: Taming Heterogeneity in Federated Linear Stochastic Approximation and TD Learning
Paul Mangold
S. Samsonov
Safwan Labbi
I. Levin
Réda Alami
Alexey Naumov
Eric Moulines
402
6
0
06 Feb 2024
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 ApplicationsInternational Conference on Artificial Intelligence and Statistics (AISTATS), 2024
Jie Hu
Vishwaraj Doshi
Do Young Eun
363
5
0
17 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
358
13
0
31 Dec 2023
Improved High-Probability Bounds for the Temporal Difference Learning
  Algorithm via Exponential Stability
Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential StabilityAnnual Conference Computational Learning Theory (COLT), 2023
S. Samsonov
D. Tiapkin
Alexey Naumov
Eric Moulines
330
10
0
22 Oct 2023
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