Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Download Learning Reactive Behaviors With Constructive Neural Networks In Mobile Robotics full books in PDF, epub, and Kindle. Read online Learning Reactive Behaviors With Constructive Neural Networks In Mobile Robotics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Author : Jun Li
Publisher :
ISBN 13 : 9789176684900
Total Pages : 165 pages
Book Rating : 4.6/5 (849 download)
Download or read book Learning Reactive Behaviors with Constructive Neural Networks in Mobile Robotics written by Jun Li and published by . This book was released on 2006 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Jun Li
Publisher : LAP Lambert Academic Publishing
ISBN 13 : 9783838380063
Total Pages : 156 pages
Book Rating : 4.3/5 (8 download)
Download or read book Behavior Learning with Constructive Neural Networks in Mobile Robotics written by Jun Li and published by LAP Lambert Academic Publishing. This book was released on 2010-07 with total page 156 pages. Available in PDF, EPUB and Kindle. Book excerpt: In behavior-based robotics, a robot achieves a required task by using various behaviors as the building blocks for that overall task. A robot behavior in turn is a sequence of sensory states and their corresponding motor actions, and extends in time and space. Making a robot able to learn (or develop) meaningful and purposeful behaviors from its own experiences has played one of the most important roles in intelligent robotics, and have been called the hallmark of intelligence. This book presents a learning system for acquiring robot behaviors by mapping sensor information directly to motor actions. It addresses the integration of three learning paradigms, namely unsupervised learning, supervised learning, and reinforcement learning. The approach is characterized by the use of constructive artificial neural networks, Several novel techniques for robot learning using constructive radial basis function networks are introduced. The learning system is verified by a number of experiments involving a real robot learning different behaviors. It is shown that the learning system is useful as a generic learning component for acquiring diverse behaviors in mobile robots.
Author : Li Jun
Publisher :
ISBN 13 :
Total Pages : 88 pages
Book Rating : 4.:/5 (186 download)
Download or read book Towards Online Learning of Reactive Behaviors in Mobile Robotics written by Li Jun and published by . This book was released on 2004 with total page 88 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Branko Šter
Publisher :
ISBN 13 :
Total Pages : 40 pages
Book Rating : 4.:/5 (13 download)
Download or read book An Integrated Learning Approach to Environment Modelling in Mobile Robot Navigation written by Branko Šter and published by . This book was released on 2018 with total page 40 pages. Available in PDF, EPUB and Kindle. Book excerpt: We extend the approach to learning a topological description of the environment with recurrent neural networks. Usually, a predetermined reactive behavior and a predefined criterion for decision points are used. In our extended approach, both the reactive behavior and the criterion for the decision points are adaptive and therefore more flexible. The reactive behavior is learnt using reinforcement learning supplemented by a new, psychologically grounded mechanism that enables the robot to autonomously explore the environment in a useful way for the purposes of modelling. Decision points or situations where a deviation from the reactive behavior is allowed are learnt on-line using a novel criterion based on the information theory. Results of experiments conducted with a simulated mobile robot equipped with proximity sensors and a color video camera show applicability of the proposed approach.
Author : A Mehran Shahhosseini
Publisher : World Scientific
ISBN 13 : 9813208333
Total Pages : 758 pages
Book Rating : 4.8/5 (132 download)
Download or read book Design, Manufacturing And Mechatronics - Proceedings Of The International Conference On Design, Manufacturing And Mechatronics (Icdmm2016) written by A Mehran Shahhosseini and published by World Scientific. This book was released on 2016-12-29 with total page 758 pages. Available in PDF, EPUB and Kindle. Book excerpt: The 3rd Annual International Conference on Design, Manufacturing and Mechatronics (ICDMM2016) was successfully held in Wuhan, China in 2016.The ICDMM2016 covers a wide range of fundamental studies, technical innovations and industrial applications in industry design, manufacturing and mechatronics. The ICDMM2016 program consists of 4 keynote speeches, 96 oral and poster presentations. We were pleased to have more than 80 participants from China, South Korea, Taiwan, Japan, Malaysia, and Saudi Arabia. However, finally, only 83 articles were selected after peer review to be included in this proceedings.
Author : Charles Martin Sheaffer
Publisher :
ISBN 13 :
Total Pages : 436 pages
Book Rating : 4.:/5 (319 download)
Download or read book Adaptive Sensory/motor Integration for an Autonomous Mobile Robot written by Charles Martin Sheaffer and published by . This book was released on 1994 with total page 436 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : A.Poli Grossmann (R)
Publisher :
ISBN 13 :
Total Pages : 8 pages
Book Rating : 4.:/5 (834 download)
Download or read book Continual Robot Learning with Constructive Neural Networks written by A.Poli Grossmann (R) and published by . This book was released on 1997 with total page 8 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Axel Grossmann
Publisher :
ISBN 13 :
Total Pages : pages
Book Rating : 4.:/5 (556 download)
Download or read book Continual robot learning with constructive neural networks written by Axel Grossmann and published by . This book was released on 1997 with total page pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Institute of Electrical and Electronics Engineers
Publisher :
ISBN 13 :
Total Pages : 1234 pages
Book Rating : 4.3/5 (91 download)
Download or read book Index to IEEE Publications written by Institute of Electrical and Electronics Engineers and published by . This book was released on 1998 with total page 1234 pages. Available in PDF, EPUB and Kindle. Book excerpt: Issues for 1973- cover the entire IEEE technical literature.
Author : Michael A. Arbib
Publisher : MIT Press
ISBN 13 : 0262011972
Total Pages : 1328 pages
Book Rating : 4.2/5 (62 download)
Download or read book The Handbook of Brain Theory and Neural Networks written by Michael A. Arbib and published by MIT Press. This book was released on 2003 with total page 1328 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition presents the enormous progress made in recent years in the many subfields related to the two great questions : how does the brain work? and, How can we build intelligent machines? This second edition greatly increases the coverage of models of fundamental neurobiology, cognitive neuroscience, and neural network approaches to language. (Midwest).
Author : Judy A. Franklin
Publisher : Springer Science & Business Media
ISBN 13 : 1461304717
Total Pages : 218 pages
Book Rating : 4.4/5 (613 download)
Download or read book Recent Advances in Robot Learning written by Judy A. Franklin and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 218 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent Advances in Robot Learning contains seven papers on robot learning written by leading researchers in the field. As the selection of papers illustrates, the field of robot learning is both active and diverse. A variety of machine learning methods, ranging from inductive logic programming to reinforcement learning, is being applied to many subproblems in robot perception and control, often with objectives as diverse as parameter calibration and concept formulation. While no unified robot learning framework has yet emerged to cover the variety of problems and approaches described in these papers and other publications, a clear set of shared issues underlies many robot learning problems. Machine learning, when applied to robotics, is situated: it is embedded into a real-world system that tightly integrates perception, decision making and execution. Since robot learning involves decision making, there is an inherent active learning issue. Robotic domains are usually complex, yet the expense of using actual robotic hardware often prohibits the collection of large amounts of training data. Most robotic systems are real-time systems. Decisions must be made within critical or practical time constraints. These characteristics present challenges and constraints to the learning system. Since these characteristics are shared by other important real-world application domains, robotics is a highly attractive area for research on machine learning. On the other hand, machine learning is also highly attractive to robotics. There is a great variety of open problems in robotics that defy a static, hand-coded solution. Recent Advances in Robot Learning is an edited volume of peer-reviewed original research comprising seven invited contributions by leading researchers. This research work has also been published as a special issue of Machine Learning (Volume 23, Numbers 2 and 3).
Author :
Publisher :
ISBN 13 :
Total Pages : 812 pages
Book Rating : 4.3/5 (91 download)
Download or read book IJCNN International Joint Conference on Neural Networks written by and published by . This book was released on 1999 with total page 812 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Takayuki Osa
Publisher :
ISBN 13 : 9781680834109
Total Pages : 194 pages
Book Rating : 4.8/5 (341 download)
Download or read book An Algorithmic Perspective on Imitation Learning written by Takayuki Osa and published by . This book was released on 2018-03-27 with total page 194 pages. Available in PDF, EPUB and Kindle. Book excerpt: Familiarizes machine learning experts with imitation learning, statistical supervised learning theory, and reinforcement learning. It also roboticists and experts in applied artificial intelligence with a broader appreciation for the frameworks and tools available for imitation learning.
Author : Jeffrey Roderick Norman Forbes
Publisher :
ISBN 13 :
Total Pages : 250 pages
Book Rating : 4.:/5 (34 download)
Download or read book Reinforcement Learning for Autonomous Vehicles written by Jeffrey Roderick Norman Forbes and published by . This book was released on 2002 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Robert R. Burridge
Publisher :
ISBN 13 :
Total Pages : 190 pages
Book Rating : 4.3/5 (91 download)
Download or read book Sequential Composition of Dynamically Dexterous Robot Behaviors written by Robert R. Burridge and published by . This book was released on 1996 with total page 190 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Author : Sylvain Calinon
Publisher : EPFL Press
ISBN 13 : 9781439808672
Total Pages : 248 pages
Book Rating : 4.8/5 (86 download)
Download or read book Robot Programming by Demonstration written by Sylvain Calinon and published by EPFL Press. This book was released on 2009-08-24 with total page 248 pages. Available in PDF, EPUB and Kindle. Book excerpt: Recent advances in RbD have identified a number of key issues for ensuring a generic approach to the transfer of skills across various agents and contexts. This book focuses on the two generic questions of what to imitate and how to imitate and proposes active teaching methods.
Author : Richard S. Sutton
Publisher : MIT Press
ISBN 13 : 0262352702
Total Pages : 549 pages
Book Rating : 4.2/5 (623 download)
Download or read book Reinforcement Learning, second edition written by Richard S. Sutton and published by MIT Press. This book was released on 2018-11-13 with total page 549 pages. Available in PDF, EPUB and Kindle. Book excerpt: The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.
