Data-driven Generation of Policies

Language: English

Published by Springer, Springer Jan 2014, 2014

1493902733 / 9781493902736

Series: Book 110 of 322 - SpringerBriefs in Computer Science

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This item is printed on demand - Print on Demand Titel. Neuware -This Springer Brief presents a basic algorithm that provides a correct solution to finding an optimal state change attempt, as well as an enhanced algorithm that is built on top of the well-known trie data structure. It explores correctness and algorithmic complexity results for both algorithms and experiments comparing their performance on both real-world and synthetic data. Topics addressed include optimal state change attempts, state change effectiveness, different kind of effect estimators, planning under uncertainty and experimental evaluation. These topics will help researchers analyze tabular data, even if the data contains states (of the world) and events (taken by an agent) whose effects are not well understood. Event DBs are omnipresent in the social sciences and may include diverse scenarios from political events and the state of a country to education-related actions and their effects on a school system. With a wide range of applications in computer science and the social sciences, the information in this Springer Brief is valuable for professionals and researchers dealing with tabular data, artificial intelligence and data mining. The applications are also useful for advanced-level students of computer science.Springer-Verlag KG, Sachsenplatz 4-6, 1201 Wien 60 pp. Englisch.…

Seller Inventory # 9781493902736

Title
Data-driven Generation of Policies
Author
Austin Parker
Publisher
Springer, Springer Jan 2014
Publication year
2014
Condition
Neu
Binding
Taschenbuch
Language
English
ISBN 10
1493902733
ISBN 13
9781493902736
Item weight
108 grams
Dimensions
235x155x4 mm
Series
Book 110 of 322: SpringerBriefs in Computer Science

buchversandmimpf2000

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