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Advances in Robot Learning
. Ed(S): Wyatt, Jeremy; Demiris, John
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Description for Advances in Robot Learning
Paperback. Among the topics addressed in these papers are map building for robot navigation, multi-task reinforcement learning, neural network approaches, example- based learning, situated agents, planning maps for mobile robots, path finding, autonomous robots, and biologically inspired approaches. Editor(s): Wyatt, Jeremy; Demiris, John. Series: Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence. Num Pages: 180 pages, biography. BIC Classification: TJFM1; UYQM. Category: (P) Professional & Vocational; (UP) Postgraduate, Research & Scholarly; (UU) Undergraduate. Dimension: 233 x 155 x 9. Weight in Grams: 262.
Robot learning is an exciting and interdisciplinary ?eld. This state is re?ected in the range and form of the papers presented here. Techniques that have - come well established in robot learning are present: evolutionary methods, neural networkapproaches, reinforcement learning; as are techniques from control t- ory, logic programming, and Bayesian statistics. It is notalbe that in many of the papers presented in this volume several of these techniques are employed in conjunction. In papers by Nehmzow, Grossmann and Quoy neural networks are utilised to provide landmark-based representations of the environment, but di?erent techniques are used in each paper to ... Read more
Robot learning is an exciting and interdisciplinary ?eld. This state is re?ected in the range and form of the papers presented here. Techniques that have - come well established in robot learning are present: evolutionary methods, neural networkapproaches, reinforcement learning; as are techniques from control t- ory, logic programming, and Bayesian statistics. It is notalbe that in many of the papers presented in this volume several of these techniques are employed in conjunction. In papers by Nehmzow, Grossmann and Quoy neural networks are utilised to provide landmark-based representations of the environment, but di?erent techniques are used in each paper to ... Read more
Product Details
Format
Paperback
Publication date
2000
Publisher
Springer-Verlag Berlin and Heidelberg GmbH & Co. KG Germany
Number of pages
180
Condition
New
Series
Lecture Notes in Computer Science / Lecture Notes in Artificial Intelligence
Number of Pages
172
Place of Publication
Berlin, Germany
ISBN
9783540411628
SKU
V9783540411628
Shipping Time
Usually ships in 15 to 20 working days
Ref
99-15
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