Optimal Train Control by Approximate Dynamic Programming: Comparison of Three Value Function Approximation Methods*

2018 21st International Conference on Intelligent Transportation Systems (ITSC) ◽

10.1109/itsc.2018.8569440 ◽

2018 ◽

Author(s):

Tong Liu ◽

Jing Xun ◽

Jiateng Yin ◽

Xiao Xiao

Keyword(s):

Dynamic Programming ◽

Function Approximation ◽

Value Function ◽

Approximate Dynamic Programming ◽

Approximation Methods ◽

Value Function Approximation ◽

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Approximate dynamic programming for the aeromedical evacuation dispatching problem: Value function approximation utilizing multiple level aggregation

Omega ◽

10.1016/j.omega.2018.12.009 ◽

2020 ◽

Vol 91 ◽

pp. 102020 ◽

Author(s):

Matthew J. Robbins ◽

Phillip R. Jenkins ◽

Nathaniel D. Bastian ◽

Brian J. Lunday

Keyword(s):

Dynamic Programming ◽

Function Approximation ◽

Value Function ◽

Approximate Dynamic Programming ◽

Multiple Level ◽

Aeromedical Evacuation ◽

Value Function Approximation

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Dynamic Programming and Value-Function Approximation in Sequential Decision Problems: Error Analysis and Numerical Results

Journal of Optimization Theory and Applications ◽

10.1007/s10957-012-0118-2 ◽

2012 ◽

Vol 156 (2) ◽

pp. 380-416 ◽

Author(s):

Mauro Gaggero ◽

Giorgio Gnecco ◽

Marcello Sanguineti

Keyword(s):

Dynamic Programming ◽

Error Analysis ◽

Function Approximation ◽

Value Function ◽

Numerical Results ◽

Decision Problems ◽

Sequential Decision ◽

Value Function Approximation ◽

Sequential Decision Problems

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Adaptive value function approximation for continuous-state stochastic dynamic programming

Computers & Operations Research ◽

10.1016/j.cor.2012.11.016 ◽

2013 ◽

Vol 40 (4) ◽

pp. 1076-1084 ◽

Author(s):

Huiyuan Fan ◽

Prashant K. Tarun ◽

Victoria C.P. Chen

Keyword(s):

Dynamic Programming ◽

Function Approximation ◽

Stochastic Dynamic Programming ◽

Value Function ◽

Stochastic Dynamic ◽

Value Function Approximation ◽

Adaptive Value ◽

Continuous State

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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 ◽

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 ◽

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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A Linear Approximation of the Value Function of an Approximate Dynamic Programming Approach for the Ship Scheduling Problem

Lecture Notes in Computer Science - Learning and Intelligent Optimization ◽

10.1007/978-3-642-13800-3_14 ◽

2010 ◽

pp. 184-187

Author(s):

Kazuhiro Kobayashi

Keyword(s):

Dynamic Programming ◽

Linear Approximation ◽

Value Function ◽

Approximate Dynamic Programming ◽

Programming Approach ◽

Scheduling Problem ◽

Dynamic Programming Approach ◽

Ship Scheduling ◽

The Value Function

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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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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 Constrained Backpropagation Approach to Function Approximation and Approximate Dynamic Programming

Reinforcement Learning and Approximate Dynamic Programming for Feedback Control ◽

10.1002/9781118453988.ch8 ◽

2013 ◽

pp. 162-181 ◽

Author(s):

Silvia Ferrari ◽

Keith Rudd ◽

Gianluca Di Muro

Keyword(s):

Dynamic Programming ◽

Function Approximation ◽

Approximate Dynamic Programming

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