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Geometric Insights into the Convergence of Nonlinear TD Learning

Geometric Insights into the Convergence of Nonlinear TD Learning

29 May 2019
David Brandfonbrener
Joan Bruna
ArXivPDFHTML

Papers citing "Geometric Insights into the Convergence of Nonlinear TD Learning"

5 / 5 papers shown
Title
An Improved Finite-time Analysis of Temporal Difference Learning with
  Deep Neural Networks
An Improved Finite-time Analysis of Temporal Difference Learning with Deep Neural Networks
Zhifa Ke
Zaiwen Wen
Junyu Zhang
37
0
0
07 May 2024
Towards a Better Understanding of Representation Dynamics under
  TD-learning
Towards a Better Understanding of Representation Dynamics under TD-learning
Yunhao Tang
Rémi Munos
OffRL
26
1
0
29 May 2023
Gauss-Newton Temporal Difference Learning with Nonlinear Function
  Approximation
Gauss-Newton Temporal Difference Learning with Nonlinear Function Approximation
Zhifa Ke
Junyu Zhang
Zaiwen Wen
24
0
0
25 Feb 2023
Bayesian Bellman Operators
Bayesian Bellman Operators
M. Fellows
Kristian Hartikainen
Shimon Whiteson
OffRL
42
15
0
09 Jun 2021
Can Temporal-Difference and Q-Learning Learn Representation? A
  Mean-Field Theory
Can Temporal-Difference and Q-Learning Learn Representation? A Mean-Field Theory
Yufeng Zhang
Qi Cai
Zhuoran Yang
Yongxin Chen
Zhaoran Wang
OOD
MLT
105
11
0
08 Jun 2020
1