With captions from such authorities as Ray Leier, Jan Peters and Kevin Wallace, this book showcases inspiring examples of turned wood, from sculptures to vessels to small treasures.'

Contemporary Turned Wood: New Perspectives in a Rich Tradition

Wallace, Kevin

Leier, Ray

Peters, Jan

Arts & Photography

Hand Book Pr

As robots and other intelligent agents move from simple environments and problems to more complex, unstructured settings, manually programming their behavior has become increasingly challenging and expensive. Often, it is easier for a teacher to demonstrate a desired behavior rather than attempt to manually engineer it. This process of learning from demonstrations, and the study of algorithms to do so, is called imitation learning.An Algorithmic Perspective on Imitation Learning provides the reader with an introduction to imitation learning. It covers the underlying assumptions, approaches, and how they relate; the rich set of algorithms developed to tackle the problem; and advice on effective tools and implementation.An Algorithmic Perspective on Imitation Learning serves two audiences. First, it familiarizes machine learning experts with the challenges of imitation learning, particularly those arising in robotics, and the interesting theoretical and practical distinctions between it and more familiar frameworks like statistical supervised learning theory and reinforcement learning. Second, it provides roboticists and experts in applied artificial intelligence with a broader appreciation for the frameworks and tools available for imitation learning. It pays particular attention to the intimate connection between imitation learning approaches and those of structured prediction.

An Algorithmic Perspective on Imitation Learning (Foundations and Trends(r) in Robotics)

Computers & Technology

Neumann, Gerhard

Osa, Takayuki

Pajarinen, Joni

Bagnell, J Andrew

Abbeel, Pieter

Computer Science

Now Publishers

Although people have heated silica to form glass for thousands of years, the contemporary art glass movement began with a simple workshop just 40 years ago. In the interim, the movement has grown into an international phenomenon, fueled by the drama of hot-glass techniques and the beauty of frozen light and color in glass works of art. Contemporary Glass presents the work of artists important to the early expansion of the field, as well as new artists who continue to explore this most beautiful and demanding art medium. * Stellar work by top artists in the field * Exceptional photos and production quality * A treasured resource for both collectors and artists

Contemporary Glass: Color, Light & Form

History

Guild

Das Lehrbuch bietet eine umfassende Einfuhrung in die Psychologische Diagnostik und stellt sowohl deren theoretische und methodische Grundlagen als auch Einsatzmoglichkeiten in den Anwendungsfeldern der Psychologie dar. Fur die 3. Auflage wurde das Buch in allen Teilen aktualisiert und grundlich uberarbeitet. Neu hinzugekommen sind u. a. Abschnitte uber Testfairness, Maschinelles Lernen und multimodale Diagnostik.

Psychologische Diagnostik: Grundlagen Und Anwendungsfelder (Kohlhammer Standards Psychologie) (German Edition)

Health, Fitness & Dieting

Renner, Karl-Heinz

Krohne, Heinz Walter

Hock, Michael

Psychology & Counseling

Kohlhammer Verlag

This book presents the state of the art in reinforcement learning applied to robotics both in terms of novel algorithms and applications. It discusses recent approaches that allow robots to learn motor.skills and presents tasks that need to take into account the dynamic behavior of the robot and its environment, where a kinematic movement plan is not sufficient. The book illustrates a method that learns to generalize parameterized motor plans which is obtained by imitation or reinforcement learning, by adapting a small set of global parameters and appropriate kernel-based reinforcement learning algorithms. The presented applications explore highly dynamic tasks and exhibit a very efficient learning process. All proposed approaches have been extensively validated with benchmarks tasks, in simulation and on real robots. These tasks correspond to sports and games but the presented techniques are also applicable to more mundane household tasks. The book is based on the first author’s doctoral thesis, which won the 2013 EURON Georges Giralt PhD Award.

Learning Motor Skills: From Algorithms to Robot Experiments (Springer Tracts in Advanced Robotics, 97)

Kober, Jens

Springer

This overview by an award-winning researcher of the ways reinforcement learning can be applied to robotics includes new algorithms and applications. It assesses their success in benchmark tasks such as darts, table tennis, and ball-throwing and bouncing.

Autonomous robots have been a vision of robotics, artificial intelligence, and cognitive sciences. An important step towards this goal is to create robots that can learn to accomplish a multitude of different tasks triggered by environmental context and higher-level instruction. Early approaches to this goal during the heydays of artificial intelligence research in the late 1980s showed that handcrafted approaches do not suffice and that machine learning is needed. However, off the shelf learning techniques often do not scale into real-time or to the high-dimensional domains of manipulator and humanoid robotics. In this book, we investigate the foundations for a general approach to motor skill learning that employs domain-specific machine learning methods. A theoretically well-founded general approach to representing the required control structures for task representation and execution is presented along with novel learning algorithms that can be applied in this setting. The resulting framework is shown to work well both in simulation and on real robots.

Machine Learning for Robotics: Learning Methods for Robot Motor Skills

VDM Verlag Dr. Müller

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Books by Peters, Jan