Learning in Embedded Systems

Download or read book Learning in Embedded Systems written by Leslie Pack Kaelbling and published by MIT Press. This book was released on 1993 with total page 206 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learning to perform complex action strategies is an important problem in the fields of artificial intelligence, robotics and machine learning. Presenting interesting, new experimental results, Learning in Embedded Systems explores algorithms that learn efficiently from trial and error experience with an external world. The text is a detailed exploration of the problem of learning action strategies in the context of designing embedded systems that adapt their behaviour to a complex, changing environment. Such systems include mobile robots, factory process controllers and long-term software databases.