TY - CHAP AU - Osman Hassab Elgawi ED - Suraiya Jabin Y1 - 2010-08-12 PY - 2010 T1 - Reinforcement-based Robotic Memory Controller N2 - 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. - Collection of most recent research on Robot Learning. BT - Robot Learning SP - Ch. 6 UR - https://doi.org/10.5772/10252 DO - 10.5772/10252 SN - PB - IntechOpen CY - Rijeka Y2 - 2024-03-29 ER -