Robot LearningSuraiya Jabin BoD – Books on Demand, 12.08.2010 - 160 Seiten 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. |
Inhalt
Combining and Comparing Multiple Algorithms | 17 |
Robot Learning of Domain Specific Knowledge | 43 |
Uncertainty in Reinforcement Learning | 65 |
Anticipatory Mechanisms of Human SensoryMotor | 91 |
Towards Robotic Manipulator Grammatical Control | 117 |
MultiRobot Systems Control Implementation | 137 |
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1st 1 wav 2nd 1 wav action adaptive control agent aggr algorithms anticipatory applications approach Artificial Intelligence bandstop fft bandstop lpc behavior Bellman iteration cerebellum certain-optimal policies Classifier Systems Computer configuration Delayed Neural Networks domain analysis domain engineering DUIPI dynamics environment estimate exploration feature grammars IEEE implementation input internal models ISSN knowledge engineering LCSs Learning Classifier Systems low fft lpc cos 9 Mach-O Machine Learning MARF MARF Research matrix methods Model Predictive Control Mokhov natural language noise bandstop noise low noise norm noise raw fft norm fft norm lpc optimal output parameters performance POMDP Predictive Control problem Proc Q-function Q-learning Q-values raw lpc reinforcement learning reward RM control Robot Learning semantic sensory silence noise raw state-action pairs stochastic structure subsystem Sun Microsystems value function wav noise wav silence noise WaV WaV WaV Waw Waw Waw