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Hybrid dynamic programming

1997
In this paper we outline the derivation of a hybrid Hamilton-Jacobi-Bellman equation for our Multiple Agent Hybrid Control Architecture (MACHA) [5, 4] and a hybrid system dynamic progamming methodology.
Wolf Kohn, Jeffrey B. Remmel
openaire   +2 more sources

Adaptive dynamic programming

IEEE Transactions on Systems, Man and Cybernetics, Part C (Applications and Reviews), 2002
Unlike the many soft computing applications where it suffices to achieve a "good approximation most of the time," a control system must be stable all of the time. As such, if one desires to learn a control law in real-time, a fusion of soft computing techniques to learn the appropriate control law with hard computing techniques to maintain the ...
Murray, J.J.   +3 more
openaire   +2 more sources

The dynamic behavior of programs

Proceedings of the December 9-11, 1968, fall joint computer conference, part II on - AFIPS '68 (Fall, part II), 1968
A computer system consists of several resources for which users' programs are competing: CPU time, primary and secondary storage and Input-Output devices. More and more computer systems, which are being marketed currently, allow for resource sharing among several jobs, in order to obtain a better utilization of all available equipment, or to provide ...
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Dynamic program building

Software: Practice and Experience, 1981
AbstractThis paper argues that programs are better regarded as dynamic running objects rather than as static textual ones. The concept of dynamic building, whereby a program is constructed as it runs, is described. It also describes the Builder system, which is an implementation of dynamic building for an interactive algebraic programming language ...
openaire   +2 more sources

SDDP.jl: A Julia Package for Stochastic Dual Dynamic Programming

INFORMS Journal on Computing, 2021
Lea Kapelevich, Oscar Dowson
exaly  

Accelerating dynamic programming.

2009
Dynamic Programming (DP) is a fundamental problem-solving technique that has been widely used for solving a broad range of search and optimization problems. While DP can be invoked when more specialized methods fail, this generality often incurs a cost in efficiency.
openaire   +1 more source

Dynamic Choice Theory and Dynamic Programming

Econometrica, 1979
Kreps, David M, Porteus, Evan L
openaire   +1 more source

PDP: parallel dynamic programming

IEEE/CAA Journal of Automatica Sinica, 2017
Qinglai Wei, Fei-Yue Wang
exaly  

Risk neutral and risk averse Stochastic Dual Dynamic Programming method

European Journal of Operational Research, 2013
Alexander Shapiro, Joari Paulo da Costa
exaly  

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