Learning in Embedded Systems

Know about the book -

Learning in Embedded Systems is written by Leslie Pack Kaelbling and published by MIT Press. It's available with International Standard Book Number or ISBN identification 0262111748 (ISBN 10) and 9780262111744 (ISBN 13).

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.