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1809.09501
Cited By
Anderson Acceleration for Reinforcement Learning
25 September 2018
Matthieu Geist
B. Scherrer
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ArXiv (abs)
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Papers citing
"Anderson Acceleration for Reinforcement Learning"
17 / 17 papers shown
Title
Rank-One Modified Value Iteration
Arman Sharifi Kolarijani
Tolga Ok
Peyman Mohajerin Esfahani
Mohamad Amin Sharif Kolarijani
76
0
0
03 May 2025
FedOSAA: Improving Federated Learning with One-Step Anderson Acceleration
Xue Feng
M. Paul Laiu
Thomas Strohmer
FedML
84
0
0
14 Mar 2025
Deflated Dynamics Value Iteration
Jongmin Lee
Amin Rakhsha
Ernest K. Ryu
Amir-massoud Farahmand
77
2
0
15 Jul 2024
PID Accelerated Temporal Difference Algorithms
Mark Bedaywi
Amin Rakhsha
Amir-massoud Farahmand
60
1
0
11 Jul 2024
From Optimization to Control: Quasi Policy Iteration
Mohammad Amin Sharifi Kolarijani
Peyman Mohajerin Esfahani
54
2
0
18 Nov 2023
Improved Convergence Rates of Windowed Anderson Acceleration for Symmetric Fixed-Point Iterations
Casey Garner
Gilad Lerman
Teng Zhang
39
1
0
04 Nov 2023
Acceleration in Policy Optimization
Veronica Chelu
Tom Zahavy
A. Guez
Doina Precup
Sebastian Flennerhag
86
0
0
18 Jun 2023
Accelerating Value Iteration with Anchoring
Jongmin Lee
Ernest K. Ryu
57
9
0
26 May 2023
Enhancing Electrical Impedance Tomography reconstruction using Learned Half-Quadratic Splitting Networks with Anderson Acceleration
Guixian Xu
Huihui Wang
Qingping Zhou
65
3
0
16 Apr 2023
Anderson Acceleration For Bioinformatics-Based Machine Learning
Sarwan Ali
Prakash Chourasia
Murray Patterson
60
2
0
01 Feb 2023
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
Damped Anderson Mixing for Deep Reinforcement Learning: Acceleration, Convergence, and Stabilization
Ke Sun
Yafei Wang
Yi Liu
Yingnan Zhao
Bo Pan
Shangling Jui
Bei Jiang
Linglong Kong
27
11
0
17 Oct 2021
Stochastic Anderson Mixing for Nonconvex Stochastic Optimization
Fu Wei
Chenglong Bao
Yang Liu
69
20
0
04 Oct 2021
Partial Policy Iteration for L1-Robust Markov Decision Processes
C. Ho
Marek Petrik
W. Wiesemann
121
54
0
16 Jun 2020
Scalable First-Order Methods for Robust MDPs
Julien Grand-Clément
Christian Kroer
104
28
0
11 May 2020
Anderson Acceleration of Proximal Gradient Methods
Vien V. Mai
M. Johansson
34
37
0
18 Oct 2019
Regularized Anderson Acceleration for Off-Policy Deep Reinforcement Learning
Wenjie Shi
Shiji Song
Hui Wu
Yachu Hsu
Cheng Wu
Gao Huang
31
26
0
07 Sep 2019
1