Structural Results for Partially Observed Markov Decision Processes
Optimization and Control
2015-12-15 v1
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.
Cite
@article{arxiv.1512.03873,
title = {Structural Results for Partially Observed Markov Decision Processes},
author = {Vikram Krishnamurthy},
journal= {arXiv preprint arXiv:1512.03873},
year = {2015}
}