Value Function Approximation in Complex Queueing Systems

International Series in Operations Research & Management Science - Markov Decision Processes in Practice ◽

10.1007/978-3-319-47766-4_2 ◽

2017 ◽

pp. 33-62

Author(s):

Sandjai Bhulai

Keyword(s):

Function Approximation ◽

Value Function ◽

Queueing Systems ◽

Value Function Approximation

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A review of stochastic algorithms with continuous value function approximation and some new approximate policy iteration algorithms for multidimensional continuous applications

Journal of Control Theory and Applications ◽

10.1007/s11768-011-0313-y ◽

2011 ◽

Vol 9 (3) ◽

pp. 336-352 ◽

Cited By ~ 17

Author(s):

Warren B. Powell ◽

Jun Ma

Keyword(s):

Function Approximation ◽

Value Function ◽

Policy Iteration ◽

Stochastic Algorithms ◽

Value Function Approximation ◽

Approximate Policy Iteration

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Generating Artificial Neural Networks for Value Function Approximation in a Domain Requiring a Shifting Strategy

Applications of Evolutionary Computation - Lecture Notes in Computer Science ◽

10.1007/978-3-642-37192-9_30 ◽

2013 ◽

pp. 294-303 ◽

Cited By ~ 1

Author(s):

Ransom K. Winder

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Function Approximation ◽

Value Function ◽

Value Function Approximation ◽

Shifting Strategy ◽

Artificial Neural

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Reinforcement Learning for Control Using Value Function Approximation

Encyclopedia of Systems and Control ◽

10.1007/978-3-030-44184-5_100067 ◽

2021 ◽

pp. 1868-1873

Author(s):

Konstantinos Gatsis ◽

George J. Pappas

Keyword(s):

Reinforcement Learning ◽

Function Approximation ◽

Value Function ◽

Value Function Approximation

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Feedback Stabilization of the Two-Dimensional Navier–Stokes Equations by Value Function Approximation

Applied Mathematics & Optimization ◽

10.1007/s00245-019-09586-x ◽

2019 ◽

Vol 80 (3) ◽

pp. 599-641

Author(s):

Tobias Breiten ◽

Karl Kunisch ◽

Laurent Pfeiffer

Keyword(s):

Function Approximation ◽

Value Function ◽

Stokes Equations ◽

Feedback Stabilization ◽

Navier Stokes ◽

Two Dimensional ◽

Navier Stokes Equations ◽

Value Function Approximation

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Stochastic optimization with value function approximation for micro-grid operation

2016 IEEE 55th Conference on Decision and Control (CDC) ◽

10.1109/cdc.2016.7799363 ◽

2016 ◽

Author(s):

Joohyun Shin ◽

Jay H. Lee ◽

Matthew J. Realff

Keyword(s):

Stochastic Optimization ◽

Function Approximation ◽

Value Function ◽

Value Function Approximation ◽

Micro Grid ◽

Grid Operation

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Geodesic Gaussian kernels for value function approximation

Autonomous Robots ◽

10.1007/s10514-008-9095-6 ◽

2008 ◽

Vol 25 (3) ◽

pp. 287-304 ◽

Cited By ~ 16

Author(s):

Masashi Sugiyama ◽

Hirotaka Hachiya ◽

Christopher Towell ◽

Sethu Vijayakumar

Keyword(s):

Function Approximation ◽

Value Function ◽

Value Function Approximation ◽

Gaussian Kernels

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Greedy feature replacement for online value function approximation

Journal of Zhejiang University SCIENCE C ◽

10.1631/jzus.c1300246 ◽

2014 ◽

Vol 15 (3) ◽

pp. 223-231 ◽

Cited By ~ 2

Author(s):

Feng-fei Zhao ◽

Zheng Qin ◽

Zhuo Shao ◽

Jun Fang ◽

Bo-yan Ren

Keyword(s):

Function Approximation ◽

Value Function ◽

Value Function Approximation ◽

Feature Replacement

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Restricted gradient-descent algorithm for value-function approximation in reinforcement learning

Artificial Intelligence ◽

10.1016/j.artint.2007.08.001 ◽

2008 ◽

Vol 172 (4-5) ◽

pp. 454-482 ◽

Cited By ~ 27

Author(s):

André da Motta Salles Barreto ◽

Charles W. Anderson

Keyword(s):

Reinforcement Learning ◽

Function Approximation ◽

Gradient Descent ◽

Value Function ◽

Value Function Approximation ◽

Descent Algorithm ◽

Gradient Descent Algorithm

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