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Structural Results for Partially Observed Markov Decision Processes
Published 12 Dec 2015 in math.OC | (1512.03873v1)
Abstract: This article provides an introductory tutorial on structural results in partially observed Markov decision processes (POMDPs). Typically, computing the optimal policy of a POMDP is computationally intractable. We use lattice program- ming methods to characterize the structure of the optimal policy of a POMDP without brute force computations.
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