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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Номзүйн дэлгэрэнгүй
Бусад зохиолчид: Sanner Scott, Kersting Kristian, Presentations and Authors / Twenty-Fourth AAAI Conference on Artificial Intelligence (AAAI 2010) AAAI Publications / Association for the Advancement o
Формат: Ном
Хэл сонгох:англи
Нөхцлүүд:
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
Онлайн хандалт:Symbolic Dynamic Programming for First-order POMDPs
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Symbolic Dynamic Programming for First-order POMDPs

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