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Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration,
  Convergence, and Stabilization
v1v2 (latest)

Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization

17 October 2021
Ke Sun
Yafei Wang
Yi Liu
Yingnan Zhao
Bo Pan
Shangling Jui
Bei Jiang
Linglong Kong
ArXiv (abs)PDFHTML

Papers citing "Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization"

3 / 3 papers shown
Title
Deflated Dynamics Value Iteration
Deflated Dynamics Value Iteration
Jongmin Lee
Amin Rakhsha
Ernest K. Ryu
Amir-massoud Farahmand
77
2
0
15 Jul 2024
Improved Convergence Rates of Windowed Anderson Acceleration for
  Symmetric Fixed-Point Iterations
Improved Convergence Rates of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations
Casey Garner
Gilad Lerman
Teng Zhang
41
1
0
04 Nov 2023
An Efficient Nonlinear Acceleration method that Exploits Symmetry of the
  Hessian
An Efficient Nonlinear Acceleration method that Exploits Symmetry of the Hessian
Huan He
Shifan Zhao
Z. Tang
Joyce C. Ho
Y. Saad
Yuanzhe Xi
86
3
0
22 Oct 2022
1