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partially observable Markov decision process (
POMDP) is a
generalization of a
Markov decision process (MDP). A
POMDP models an
agent decision process in which...
- The
decentralized partially observable Markov decision process (Dec-
POMDP) is a
model for
coordination and decision-making
among multiple agents. It is...
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Monte Carlo POMDP (MC-
POMDP) is the
particle filter version for the
partially observable Markov decision process (
POMDP) algorithm. In MC-
POMDP, particles...
- of
dialogue state: A
POMDP framework for
spoken dialogue systems" (PDF).
Computer Speech and Language. Young,
Steve (2013). "
POMDP-based
Statistical Spoken...
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Markov decision process (
POMDP) is a
Markov decision process in
which the
state of the
system is only
partially observed.
POMDPs are
known to be NP complete...
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decision processes (MDPs),
Partially Observable MDPs (
POMDPs), and
Decentralized POMDPs (Dec-
POMDPs). His
research is in the area of
artificial intelligence...
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planning corresponds to a
partially observable Markov decision process (
POMDP). If
there are more than one agent, we have multi-agent planning, which...
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Retrieved 27
December 2023. Co-evolving
recurrent neurons learn deep
memory POMDPs. Proc. GECCO, Washington, D. C., pp. 1795–1802, ACM Press, New York, NY...
- (PDF) (Report). Silver, David; Veness, Joel. "Monte-Carlo
Planning in
Large POMDPs" (PDF). 0.cs.ucl.ac.uk.
Archived from the
original (PDF) on July 18, 2016...
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Leslie P. Kaelbling,
Michael L. Littman, and
Anthony C****andra
introduce POMDPs and a
scalable method for
solving them to the AI community, jumpstarting...
