Robot Learning from Human Teachers. Sonia Chernova

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Robot Learning from Human Teachers - Sonia Chernova


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       Robot Learning from Human Teachers

       Synthesis Lectures on Artificial Intelligence and Machine Learning

      Editor

       Ronald J. Brachman, Yahoo!Labs

       William W. Cohen, Carnegie Mellon University

       Peter Stone, University of Texas at Austin

      Robot Learning from Human Teachers

      Sonia Chernova and Andrea L. Thomaz

      2014

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      Copyright © 2014 by Morgan & Claypool

      All rights reserved. No part of this publication may be reproduced, stored in a retrieval system, or transmitted in any form or by any means—electronic, mechanical, photocopy, recording, or any other except for brief quotations in printed reviews, without the prior permission of the publisher.

      Robot Learning from Human Teachers

      Sonia Chernova and Andrea L. Thomaz

       www.morganclaypool.com

      ISBN: 9781627051996 paperback

      ISBN: 9781627052009 ebook

      DOI 10.2200/S00568ED1V01Y201402AIM028

      A Publication in the Morgan & Claypool Publishers series

       SYNTHESIS LECTURES ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING

      Lecture #28

      Series Editors: Ronald J. Brachman, Yahoo! Labs

      William W. Cohen, Carnegie Mellon University

      Peter Stone, University of Texas at Austin

      Series ISSN

      Print 1939-4608 Electronic 1939-4616

       Robot Learning from Human Teachers

      Sonia Chernova

      Worchester Polytechnic Institute

      Andrea L. Thomaz

      Georgia Institute of Technology

       SYNTHESIS LECTURES ON ARTIFICIAL INTELLIGENCE AND MACHINE LEARNING #28

       ABSTRACT

      Learning from Demonstration (LfD) explores techniques for learning a task policy from examples provided by a human teacher. The field of LfD has grown into an extensive body of literature over the past 30 years, with a wide variety of approaches for encoding human demonstrations and modeling skills and tasks. Additionally, we have recently seen a focus on gathering data from nonexpert human teachers (i.e., domain experts but not robotics experts). In this book, we provide an introduction to the field with a focus


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