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

30 May 2023

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

7 / 7 papers shown

Title
TD(0) Learning converges for Polynomial mixing and non-linear functions Anupama Sridhar Alexander Johansen 33 0 0 08 Feb 2025
Enhancing Stochastic Optimization for Statistical Efficiency Using ROOT-SGD with Diminishing Stepsize Tong Zhang Chris Junchi Li 28 0 0 15 Jul 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 40 11 0 31 Dec 2023
Improved High-Probability Bounds for the Temporal Difference Learning Algorithm via Exponential Stability S. Samsonov D. Tiapkin Alexey Naumov Eric Moulines 22 5 0 22 Oct 2023
A Finite Time Analysis of Two Time-Scale Actor Critic Methods Yue Wu Weitong Zhang Pan Xu Quanquan Gu 88 145 0 04 May 2020
Double Reinforcement Learning for Efficient Off-Policy Evaluation in Markov Decision Processes Nathan Kallus Masatoshi Uehara OffRL 31 180 0 22 Aug 2019