Exploring Multi-action Relationship in Reinforcement Learning

In many real-world reinforcement learning problems, an agent needs to control multiple actions simultaneously. To learn under this circumstance, previously, each action was commonly treated independently with other. However, these multiple actions are rar

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Richard Booth · Min-Ling Zhang (Eds.)

PRICAI 2016: Trends in Artificial Intelligence 14th Pacific Rim International Conference on Artificial Intelligence Phuket, Thailand, August 22–26, 2016, Proceedings

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Lecture Notes in Artificial Intelligence Subseries of Lecture Notes in Computer Science

LNAI Series Editors Randy Goebel University of Alberta, Edmonton, Canada Yuzuru Tanaka Hokkaido University, Sapporo, Japan Wolfgang Wahlster DFKI and Saarland University, Saarbrücken, Germany

LNAI Founding Series Editor Joerg Siekmann DFKI and Saarland University, Saarbrücken, Germany

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More information about this series at http://www.springer.com/series/1244

Richard Booth Min-Ling Zhang (Eds.) •

PRICAI 2016: Trends in Artificial Intelligence 14th Pacific Rim International Conference on Artificial Intelligence Phuket, Thailand, August 22–26, 2016 Proceedings

123

Editors Richard Booth Cardiff University Cardiff UK

Min-Ling Zhang Southeast University Nanjing China

ISSN 0302-9743 ISSN 1611-3349 (electronic) Lecture Notes in Artificial Intelligence ISBN 978-3-319-42910-6 ISBN 978-3-319-42911-3 (eBook) DOI 10.1007/978-3-319-42911-3 Library of Congress Control Number: 2016945115 LNCS Sublibrary: SL7 – Artificial Intelligence © Springer International Publishing Switzerland 2016 This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part of the material is concerned, specifically the rights of translation, reprinting, reuse of illustrations, recitation, broadcasting, reproduction on microfilms or in any other physical way, and transmission or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, express or implied, with respect to the material contained herein or for any errors or omissions that may have been made. Printed on acid-free paper This Springer imprint is published by Springer Nature The registered company is Springer International Publishing AG Switzerland

Preface

This volume contains the papers presented at the 14th Pacific Rim International Conference on Artificial Intelligence (PRICAI 2016) held during August 22–26, 2016, in Phuket, Thailand. PRICAI is a biennial conference inaugurated in Tokyo in 1990. It provides a common forum for researchers and practitioners in various branches of artificial intelligence (AI) to exchange new ideas and share experience and expertise. Over the past 26 years the conference has grown, both in participation and scope, to b