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| Presentation | 2015-10-16 10:00 Evaluation of Parallel POMDP based on State Space Partition and State Transition Learning Yoji Yamada, Tetsuya Takiguchi, Yasuo Ariki (Kobe Univ.)  SP2015-66 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | Significant problems with Partially Observable Markov Decision Process (POMDP) lie in a large number of states, causing a long computation time and difficulty of system development. In order to solve these problems, we have applied Hierarchical POMDP (H-POMDP) to the spoken dialogue system (SDS) so far. However, in H-POMDP, the transitions between the states are restricted because of the partition of state space and the hierarchical structure. In this paper, we propose Parallel POMDP (P-POMDP) in which small POMDPs are scattered and they work together in parallel to relax this restriction. In P-POMDP, the reward function is newly formalized to make the system reply optimally. In the experiment, we compared the proposed P-POMDP with H-POMDP and the conventional POMDP in terms of task achievement rates and computation times. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | POMDP / Spoken Dialogue System / Reward Function / State Space / / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 115, no. 253, SP2015-66, pp. 39-43, Oct. 2015. | |
| Paper # | SP2015-66 | |
| Date of Issue | 2015-10-08 (SP) | |
| 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 | SP2015-66 |
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| Conference Information | |
| Committee | SP |
| Conference Date | 2015-10-15 - 2015-10-16 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | Kobe Univ. |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Speech interface, Synthesis, Dialogue, Application system, etc. |
| Paper Information | |
| Registration To | SP |
| Conference Code | 2015-10-SP |
| Language | Japanese |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Evaluation of Parallel POMDP based on State Space Partition and State Transition Learning |
| Sub Title (in English) | |
| Keyword(1) | POMDP |
| Keyword(2) | Spoken Dialogue System |
| Keyword(3) | Reward Function |
| Keyword(4) | State Space |
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| 1st Author's Name | Yoji Yamada |
| 1st Author's Affiliation | Kobe University (Kobe Univ.) |
| 2nd Author's Name | Tetsuya Takiguchi |
| 2nd Author's Affiliation | Kobe University (Kobe Univ.) |
| 3rd Author's Name | Yasuo Ariki |
| 3rd Author's Affiliation | Kobe University (Kobe Univ.) |
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| Speaker | Author-1 |
| Date Time | 2015-10-16 10:00:00 |
| Presentation Time | 25 minutes |
| Registration for | SP |
| Paper # | SP2015-66 |
| Volume (vol) | vol.115 |
| Number (no) | no.253 |
| Page | pp.39-43 |
| #Pages | 5 |
| Date of Issue | 2015-10-08 (SP) |
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