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Engineering portfolios of Machine Learning algorithms to solve complex tasks in robotics and automated reasoning

By Luca Pulina

Abstract

This report provides a summary of a dissertation focusing in the application of Machine Learning (ML) techniques to solve complex tasks both in robotics and automated reasoning. In particular, we focus on the contributions achieved in engineering ML techniques to yield a robust solver for quantified Boolean formulas

Topics: ING-INF/05 Sistemi di elaborazione delle informazioni
Publisher: IOS Press
Year: 2010
OAI identifier: oai:eprints.uniss.it:7108
Provided by: UnissResearch
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