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Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features

Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features

27 May 2025
Zixuan Xie
Xinyu Liu
Rohan Chandra
Shangtong Zhang
ArXivPDFHTML

Papers citing "Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features"

6 / 6 papers shown
Title
Almost Sure Convergence Rates and Concentration of Stochastic
  Approximation and Reinforcement Learning with Markovian Noise
Almost Sure Convergence Rates and Concentration of Stochastic Approximation and Reinforcement Learning with Markovian Noise
Xiaochi Qian
Zixuan Xie
Xinyu Liu
Shangtong Zhang
74
3
0
20 Nov 2024
Stochastic Approximation with Unbounded Markovian Noise: A
  General-Purpose Theorem
Stochastic Approximation with Unbounded Markovian Noise: A General-Purpose Theorem
Shaan ul Haque
S. T. Maguluri
21
1
0
29 Oct 2024
Breaking the Deadly Triad with a Target Network
Breaking the Deadly Triad with a Target Network
Shangtong Zhang
Hengshuai Yao
Shimon Whiteson
AAML
28
44
0
21 Jan 2021
On Convergence of Gradient Expected Sarsa($λ$)
On Convergence of Gradient Expected Sarsa(λλλ)
Long Yang
Gang Zheng
Yu Zhang
Qian Zheng
Pengfei Li
Gang Pan
48
3
0
14 Dec 2020
GradientDICE: Rethinking Generalized Offline Estimation of Stationary
  Values
GradientDICE: Rethinking Generalized Offline Estimation of Stationary Values
Shangtong Zhang
Bo Liu
Shimon Whiteson
OffRL
7
103
0
29 Jan 2020
On Convergence of Emphatic Temporal-Difference Learning
On Convergence of Emphatic Temporal-Difference Learning
Huizhen Yu
OffRL
25
73
0
08 Jun 2015
1