Robot Learning is intended for one term advanced Machine Learning courses taken by students from different computer science research disciplines. This text has all the features of a renowned best selling text. It gives a focused introduction to the primary themes in a Robot learning course and demonstrates the relevance and practicality of various Machine Learning algorithms to a wide variety of real world applications from evolutionary techniques to reinforcement learning, classification, control, uncertainty and many other important fields.
Salient features:-
Comprehensive coverage of Evolutionary Techniques
Reinforcement Learning and Uncertainty.
Precise mathematical language used without excessive formalism and abstraction.
Included applications demonstrate the utility of the subject in terms of real-world problems.
A separate chapter on Anticipatory mechanisms of human sensory motor coordination and biped locomotion.
A Collection of most recent research on Robot Learning.
Source: ISBN 978-953-307-104-6
Publisher: Sciyo, Chapters
License: http://creativecommons.org/licenses/by-nc-sa/3.0/
Salient features:-
Comprehensive coverage of Evolutionary Techniques
Reinforcement Learning and Uncertainty.
Precise mathematical language used without excessive formalism and abstraction.
Included applications demonstrate the utility of the subject in terms of real-world problems.
A separate chapter on Anticipatory mechanisms of human sensory motor coordination and biped locomotion.
A Collection of most recent research on Robot Learning.
Source: ISBN 978-953-307-104-6
Publisher: Sciyo, Chapters
License: http://creativecommons.org/licenses/by-nc-sa/3.0/