Markov Processes And Learning Models
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Planning with Markov Decision Processes
Provides a concise introduction to the use of Markov Decision Processes for solving probabilistic planning problems, with an emphasis on the algorithmic perspective. It covers the whole spectrum of the field, from the basics to state-of-the-art optimal and approximation algorithms.
Labelled Markov Processes
Author: Prakash Panangaden
language: en
Publisher: Imperial College Press
Release Date: 2009
Labelled Markov processes are probabilistic versions of labelled transition systems with continuous state spaces. The book covers basic probability and measure theory on continuous state spaces and then develops the theory of LMPs.