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Data-driven Generation of Policies
Parker, Austin; Simari, Gerardo I.; Silva, Amy; Subrahmanian, V. S.
€ 68.05
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Description for Data-driven Generation of Policies
paperback. Series: SpringerBriefs in Computer Science. Num Pages: 60 pages, black & white illustrations. BIC Classification: UNF; UYAM; UYQ. Category: (P) Professional & Vocational. Dimension: 234 x 156 x 3. Weight in Grams: 113.
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 ... Read more
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 ... Read more
Product Details
Format
Paperback
Publication date
2014
Publisher
Springer United States
Number of pages
60
Condition
New
Series
SpringerBriefs in Computer Science
Number of Pages
50
Place of Publication
New York, United States
ISBN
9781493902736
SKU
V9781493902736
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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