Accretive Operators and Markov Decision Processes

The dynamic programming functional equation for an abstract, continuous parameter, Markov decision process is shown to involve an operator which is m-accretive, thus giving rise to a nonlinear semigroup, called the Bellman semigroup. A class of controls is specified for which the maximum expected re...

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Veröffentlicht in:Mathematics of Operations Research. - Institute for Operations Research and the Management Sciences. - 5(1980), 3, Seite 444-459
1. Verfasser: Pliska, Stanley R. (VerfasserIn)
Format: Online-Aufsatz
Sprache:English
Veröffentlicht: 1980
Zugriff auf das übergeordnete Werk:Mathematics of Operations Research
Schlagworte:Dynamic programming Markov decision theory Bellman equation Accretive operators Stochastic control Nonlinear semigroups Philosophy Mathematics Applied sciences Behavioral sciences Physical sciences
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520 |a The dynamic programming functional equation for an abstract, continuous parameter, Markov decision process is shown to involve an operator which is m-accretive, thus giving rise to a nonlinear semigroup, called the Bellman semigroup. A class of controls is specified for which the maximum expected reward over a finite planning horizon is given by this semigroup. This theory is applied to controlled jump, diffusion, and storage processes. 
540 |a Copyright 1980 The Institute of Management Sciences 
650 4 |a Dynamic programming 
650 4 |a Markov decision theory 
650 4 |a Bellman equation 
650 4 |a Accretive operators 
650 4 |a Stochastic control 
650 4 |a Nonlinear semigroups 
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650 4 |a Mathematics  |x Pure mathematics  |x Probability theory  |x Random variables  |x Stochastic processes  |x Markov processes 
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650 4 |a Mathematics 
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650 4 |a Applied sciences  |x Engineering  |x Control engineering  |x Control systems  |x Automatic control  |x Optimal control 
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