Symbolic Dynamic Programming for First-order POMDPs

Symbolic Dynamic Programming for First-order POMDPs

Los procesos de decisin̤ markovianos parcialmente observables (partially-observable Markov decision processes, POMDP) brindan un poderoso modelo para problemas de toma de decisiones secuenciales con estado parcialmente observable y son conocidos por tener soluciones p̤timas de programacin̤ dinm̀ica....

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Bibliografski detalji
Daljnji autori: Sanner Scott, Kersting Kristian, Presentations and Authors / Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2010) AAAI Publications / Association for the Advancement o
Format: Knjiga
Jezik:engleski
Teme:
T<U+00C9>CNICA ADMINISTRATIVA
INVESTIGACI<U+00D3>N OPERATIVA
MANAGEMENT TECHNIQUES
OPERATIONS RESEARCH
ciencias de la administracin̤
investigacin̤ de operaciones
programacin̤ dinm̀ica
programacin̤ dinm̀ica simbl̤ica
toma de decisiones
procesos de decisin̤ markovianos parcialmente observables de primer orden
optimizacin̤
management sciences
operations research
dynamic programming
symbolic dynamic programming
decision making
first-order partially-observable Markov decision processes
POMDPs
optimization
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Symbolic Dynamic Programming for First-order POMDPs

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