| Paper Abstract and Keywords |
| Presentation |
2017-06-24 09:55
Algorithms for Bad Arm Existence Checking Problem Atsuyoshi Nakamura (Hokkaido Univ.) IBISML2017-2 |
| Abstract |
(in Japanese) |
(See Japanese page) |
| (in English) |
We study a bad arm existence checking problem, in which a solver algorithm must judge whether
an arm with an expected reward at least a given threshold exists or not by drawing as small number of arms as possible in the framework of stochastic $K$-armed bandit problem. This is a formalization of the checking problem for the existence of a bad object among $K$ objects. In this manuscript, we first consider a simpler problem called an arm discrimination problem whose solver algorithm must discriminate whether a given slot machine has an expected reward at least a given threshold or not by drawing as small number of arms as possible.
We give an algorithm for this problem and show an upper bound of the sample complexity (the number of arm draws). We construct a successive elimination algorithm and a successive checking algorithm that make use of the algorithm for the arm discrimination problem as a subroutine, and also show the sample complexity upper bounds of those algorithms. |
| Keyword |
(in Japanese) |
(See Japanese page) |
| (in English) |
bandit problem / best arm identification / / / / / / |
| Reference Info. |
IEICE Tech. Rep., vol. 117, no. 110, IBISML2017-2, pp. 49-54, June 2017. |
| Paper # |
IBISML2017-2 |
| Date of Issue |
2017-06-16 (IBISML) |
| ISSN |
Print edition: ISSN 0913-5685 Online edition: ISSN 2432-6380 |
Copyright and reproduction |
All rights are reserved and no part of this publication may be reproduced or transmitted in any form or by any means, electronic or mechanical, including photocopy, recording, or any information storage and retrieval system, without permission in writing from the publisher. Notwithstanding, instructors are permitted to photocopy isolated articles for noncommercial classroom use without fee. (License No.: 10GA0019/12GB0052/13GB0056/17GB0034/18GB0034) |
| Download PDF |
IBISML2017-2 |
| Conference Information |
| Committee |
NC IPSJ-BIO IBISML IPSJ-MPS |
| Conference Date |
2017-06-23 - 2017-06-25 |
| Place (in Japanese) |
(See Japanese page) |
| Place (in English) |
Okinawa Institute of Science and Technology |
| Topics (in Japanese) |
(See Japanese page) |
| Topics (in English) |
Machine Learning Approach to Biodata Mining, and General |
| Paper Information |
| Registration To |
IBISML |
| Conference Code |
2017-06-NC-BIO-IBISML-MPS |
| Language |
Japanese |
| Title (in Japanese) |
(See Japanese page) |
| Sub Title (in Japanese) |
(See Japanese page) |
| Title (in English) |
Algorithms for Bad Arm Existence Checking Problem |
| Sub Title (in English) |
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bandit problem |
| Keyword(2) |
best arm identification |
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| 1st Author's Name |
Atsuyoshi Nakamura |
| 1st Author's Affiliation |
Hokkaido University (Hokkaido Univ.) |
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| Speaker |
Author-1 |
| Date Time |
2017-06-24 09:55:00 |
| Presentation Time |
25 minutes |
| Registration for |
IBISML |
| Paper # |
IBISML2017-2 |
| Volume (vol) |
vol.117 |
| Number (no) |
no.110 |
| Page |
pp.49-54 |
| #Pages |
6 |
| Date of Issue |
2017-06-16 (IBISML) |