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Zap Q-Learning With Nonlinear Function Approximation

Zap Q-Learning With Nonlinear Function Approximation

11 October 2019
Shuhang Chen
Adithya M. Devraj
Fan Lu
Ana Bušić
Sean P. Meyn
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Papers citing "Zap Q-Learning With Nonlinear Function Approximation"

8 / 8 papers shown
Title
Rank-One Modified Value Iteration
Rank-One Modified Value Iteration
A. S. Kolarijani
Tolga Ok
Peyman Mohajerin Esfahani
Mohamad Amin Sharif Kolarijani
27
0
0
03 May 2025
Regularized Q-Learning with Linear Function Approximation
Regularized Q-Learning with Linear Function Approximation
Jiachen Xi
Alfredo Garcia
P. Momcilovic
38
2
0
26 Jan 2024
Stability of Q-Learning Through Design and Optimism
Stability of Q-Learning Through Design and Optimism
Sean P. Meyn
31
10
0
05 Jul 2023
TD Convergence: An Optimization Perspective
TD Convergence: An Optimization Perspective
Kavosh Asadi
Shoham Sabach
Yao Liu
Omer Gottesman
Rasool Fakoor
MU
20
8
0
30 Jun 2023
Why Target Networks Stabilise Temporal Difference Methods
Why Target Networks Stabilise Temporal Difference Methods
Matt Fellows
Matthew Smith
Shimon Whiteson
OOD
AAML
21
7
0
24 Feb 2023
Review of Metrics to Measure the Stability, Robustness and Resilience of
  Reinforcement Learning
Review of Metrics to Measure the Stability, Robustness and Resilience of Reinforcement Learning
L. Pullum
21
2
0
22 Mar 2022
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic
  Approximation
Explicit Mean-Square Error Bounds for Monte-Carlo and Linear Stochastic Approximation
Shuhang Chen
Adithya M. Devraj
Ana Bušić
Sean P. Meyn
10
31
0
07 Feb 2020
A Differential Equation for Modeling Nesterov's Accelerated Gradient
  Method: Theory and Insights
A Differential Equation for Modeling Nesterov's Accelerated Gradient Method: Theory and Insights
Weijie Su
Stephen P. Boyd
Emmanuel J. Candes
108
1,157
0
04 Mar 2015
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