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A Simple Finite-Time Analysis of TD Learning with Linear Function
  Approximation
v1v2 (latest)

A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation

4 March 2024
Aritra Mitra
ArXiv (abs)PDFHTMLGithub

Papers citing "A Simple Finite-Time Analysis of TD Learning with Linear Function Approximation"

4 / 4 papers shown
Scalable Policy-Based RL Algorithms for POMDPs
Scalable Policy-Based RL Algorithms for POMDPs
Ameya Anjarlekar
Rasoul Etesami
R Srikant
134
3
0
08 Oct 2025
Non-iid hypothesis testing: from classical to quantum
Non-iid hypothesis testing: from classical to quantum
Giacomo De Palma
Marco Fanizza
Connor Mowry
Ryan O'Donnell
150
1
0
07 Oct 2025
A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections or Strong Convexity
A Finite-Time Analysis of TD Learning with Linear Function Approximation without Projections or Strong Convexity
Wei-Cheng Lee
Francesco Orabona
237
0
0
01 Jun 2025
Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
Finite Sample Analysis of Linear Temporal Difference Learning with Arbitrary Features
Zixuan Xie
Xinyu Liu
Rohan Chandra
Shangtong Zhang
448
3
0
27 May 2025
1
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