Data-driven Generation of Policies

• Κύριοι συγγραφείς: Parker, Austin (Συγγραφέας), Simari, Gerardo I. (Συγγραφέας), Sliva, Amy (Συγγραφέας), Subrahmanian, V.S (Συγγραφέας)
• Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
• Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
• Γλώσσα: English
• Έκδοση: New York, NY : Springer New York : Imprint: Springer, 2014.
• Σειρά: SpringerBriefs in Computer Science,
• Θέματα: Computer science.; Mathematical statistics.; Database management.; Data mining.; Artificial intelligence.; Computer Science.; Artificial Intelligence (incl. Robotics).; Data Mining and Knowledge Discovery.; Database Management.; Probability and Statistics in Computer Science.

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...

Πίνακας περιεχομένων:

• Introduction and Related Work
• Optimal State Change Attempts
• Different Kinds of Effect Estimators
• A Comparison with Planning under Uncertainty
• Experimental Evaluation
• Conclusions.