An Algorithmic Perspective on Imitation Learning


Book Description

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.




Deep Reinforcement Learning


Book Description

Deep reinforcement learning (DRL) is the combination of reinforcement learning (RL) and deep learning. It has been able to solve a wide range of complex decision-making tasks that were previously out of reach for a machine, and famously contributed to the success of AlphaGo. Furthermore, it opens up numerous new applications in domains such as healthcare, robotics, smart grids and finance. Divided into three main parts, this book provides a comprehensive and self-contained introduction to DRL. The first part introduces the foundations of deep learning, reinforcement learning (RL) and widely used deep RL methods and discusses their implementation. The second part covers selected DRL research topics, which are useful for those wanting to specialize in DRL research. To help readers gain a deep understanding of DRL and quickly apply the techniques in practice, the third part presents mass applications, such as the intelligent transportation system and learning to run, with detailed explanations. The book is intended for computer science students, both undergraduate and postgraduate, who would like to learn DRL from scratch, practice its implementation, and explore the research topics. It also appeals to engineers and practitioners who do not have strong machine learning background, but want to quickly understand how DRL works and use the techniques in their applications.




Imitation and Education


Book Description

Brings together current research in philosophy, cognitive science, and education to uncover and criticize the traditional assumptions of how and why we should learn through imitation.




The Many Faces of Imitation in Language Learning


Book Description

In this book we take a fresh look at imitation. With the knowledge of some 20 years of research after Chomsky's initial critique of the behavioristic approach to language learning, it is time to explore imitation once again. How imitation is viewed in this book has changed greatly since the 1950s and can only be under stood by reading the various contributions. This reading reveals many faces, many forms, many causes, and many functions of imitation-cognitive, social, information processing, learning, and biological. Some views are far removed from the notion that an imitation must occur immediately or that it must be a per fect copy of an adult sentence. But the essence of the concept of imitation is retained: Some of the child's language behavior originates as an imitation of a prior model. The range of phenomena covered is broad and stimulating. Imitation's role is discussed from infancy on through all stages of language learning. Individual differences among children are examined in how much they use imitation, and in what forms and to what purposes they use it. The forms and functions of parent imitation of their child are considered. Second-language learning is studied alongside first-language learning. The juxtaposition of so many views and facets of imitation in this book will help us to study the commonalities as well as differences of various forms and functions of imitative language and will help us to discern the further dimensions along which we must begin to differentiate imitation.




Encyclopedia of the Sciences of Learning


Book Description

Over the past century, educational psychologists and researchers have posited many theories to explain how individuals learn, i.e. how they acquire, organize and deploy knowledge and skills. The 20th century can be considered the century of psychology on learning and related fields of interest (such as motivation, cognition, metacognition etc.) and it is fascinating to see the various mainstreams of learning, remembered and forgotten over the 20th century and note that basic assumptions of early theories survived several paradigm shifts of psychology and epistemology. Beyond folk psychology and its naïve theories of learning, psychological learning theories can be grouped into some basic categories, such as behaviorist learning theories, connectionist learning theories, cognitive learning theories, constructivist learning theories, and social learning theories. Learning theories are not limited to psychology and related fields of interest but rather we can find the topic of learning in various disciplines, such as philosophy and epistemology, education, information science, biology, and – as a result of the emergence of computer technologies – especially also in the field of computer sciences and artificial intelligence. As a consequence, machine learning struck a chord in the 1980s and became an important field of the learning sciences in general. As the learning sciences became more specialized and complex, the various fields of interest were widely spread and separated from each other; as a consequence, even presently, there is no comprehensive overview of the sciences of learning or the central theoretical concepts and vocabulary on which researchers rely. The Encyclopedia of the Sciences of Learning provides an up-to-date, broad and authoritative coverage of the specific terms mostly used in the sciences of learning and its related fields, including relevant areas of instruction, pedagogy, cognitive sciences, and especially machine learning and knowledge engineering. This modern compendium will be an indispensable source of information for scientists, educators, engineers, and technical staff active in all fields of learning. More specifically, the Encyclopedia provides fast access to the most relevant theoretical terms provides up-to-date, broad and authoritative coverage of the most important theories within the various fields of the learning sciences and adjacent sciences and communication technologies; supplies clear and precise explanations of the theoretical terms, cross-references to related entries and up-to-date references to important research and publications. The Encyclopedia also contains biographical entries of individuals who have substantially contributed to the sciences of learning; the entries are written by a distinguished panel of researchers in the various fields of the learning sciences.




Evolution and Memory


Book Description

As Dr. Gattegno wrote The Science of Education treatise, he delved deep into the root of learning. This journey took him into the brain, through the ages, and caused him to greatly consider evolution and human potential. He put some of his findings aside for use in this book. Scientists of education may find this slim volume indispensable for their study of memory and its place in our ways of educating the young. "Looking at all the references made to evolution in my writings on education over 30 years, I now find here and there a link of what is cardinal in this book: that individuality is the key to understanding evolution." - Caleb Gattegno




Teach Me to Talk


Book Description




The Oxford Handbook of Developmental Psychology, Vol. 1


Book Description

This handbook provides a comprehensive survey of what is now known about psychological development, from birth to biological maturity, and it highlights how cultural, social, cognitive, neural, and molecular processes work together to yield human behavior and changes in human behavior.




Learning by Example


Book Description

In business, as in other aspects of life, we learn and grow from the examples set by others. Imitation can lead to innovation. But in order to grow innovatively, how do businesses decide what firms to imitate? And how do they choose what practices to follow? Learning by Example takes an unprecedented look at the benchmarking initiative of a major financial institution. David Strang closely follows twenty-one teams of managers sent out to observe the practices of other companies in order to develop recommendations for change in their own organization. Through extensive interviews, surveys, and archival materials, Strang reveals that benchmarking promotes a distinctive managerial regime with potential benefits and pitfalls. He explores the organizations treated as models of best practice, the networks that surround a bank and form its reference group, the ways managers craft calls for change, and the programs implemented in the wake of vicarious learning. Strang finds that imitation does not occur through mindless conformity. Instead, managers act creatively, combining what they see in external site visits with their bank's strategic objectives, interpreted in light of their understanding of rational and progressive management. Learning by Example opens the black box of interorganizational diffusion to show how managers interpret, advocate, and implement innovations.




Humanoid Robotics and Neuroscience


Book Description

Humanoid robots are highly sophisticated machines equipped with human-like sensory and motor capabilities. Today we are on the verge of a new era of rapid transformations in both science and engineering-one that brings together technological advancements in a way that will accelerate both neuroscience and robotics. Humanoid Robotics and Neuroscienc