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Quasi-Deterministic Partially Observable Markov Decision Processes

2009
We study a subclass of pomdps, called quasi-deterministic pomdps (qDet- pomdps), characterized by deterministic actions and stochastic observations. While this framework does not model the same general problems as pomdps, they still capture a number of interesting and challenging problems and, in some cases, have interesting properties. By studying the
Brahim Chaib-draa, Camille Besse
openaire   +2 more sources

Partially observable Markov decision process to generate policies in software defect management

Journal of Systems and Software, 2020
S. Akbarinasaji   +3 more
semanticscholar   +1 more source

Optimality Conditions for Partially Observable Markov Decision Processes

2013
This note describes sufficient conditions for the existence of optimal policies for Partially Observable Markov Decision Processes (POMDPs). The objective criterion is either minimization of total discounted costs or minimization of total nonnegative costs. It is well-known that a POMDP can be reduced to a Completely Observable Markov Decision Process (
Pavlo O. Kasyanov   +2 more
openaire   +2 more sources

Session search modeling by partially observable Markov decision process

Information Retrieval Journal, 2018
G. Yang   +3 more
semanticscholar   +1 more source

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