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| Paper Abstract and Keywords | ||
| Presentation | 2022-04-15 10:45 [Encouragement Talk] An Actor-Critic based Reinforcement Learning Algorithm for Combinatorial Optimization and Mobile Power Trucks Routing Problem Zhao Wang (NTT), Yuhei Senuma (Waseda Univ.), Yuusuke Nakano (NTT), Jun Ohya (Waseda Univ.), Ken Nishimatsu (NTT)  NS2022-1 |
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| Abstract | (in Japanese) | (See Japanese page) |
| (in English) | In this paper, we propose an Actor-Critic based reinforcement learning (RL) algorithm for solving the traditional combinatorial optimization problem and a mobile power trucks routing problem (MPTRP), which is a new problem setting for automatically generating charging routes of mobile power trucks for telecommunication exchange buildings right after a disaster. Experimental results demonstrate that our proposed method not only outperforms previous RL methods in the travelling salesman problem (TSP) and large-scale TSP, which we believe are quite challenging tasks, but also solves MPTRP with a good generalized performance considering real-world circumstances such as traffic conditions and charging time cost. | |
| Keyword | (in Japanese) | (See Japanese page) |
| (in English) | Reinforcement Learning / Actor-Critic / Combinatorial Optimization / TSP / Disaster Response of Telecommunication Exchange Building / / / | |
| Reference Info. | IEICE Tech. Rep., vol. 122, no. 5, NS2022-1, pp. 1-6, April 2022. | |
| Paper # | NS2022-1 | |
| Date of Issue | 2022-04-08 (NS) | |
| ISSN | 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 | NS2022-1 |
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| Conference Information | |
| Committee | NS |
| Conference Date | 2022-04-15 - 2022-04-15 |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | kikai shinkou kaikan + online |
| Topics (in Japanese) | (See Japanese page) |
| Topics (in English) | Communication traffic theory, Traffic and quality evaluation, Network performance evaluation, QoS/QoE, Reliability and robustness, Traffic and quality management, AI and machine learning, Network and system operation management, High capacity, low latency, many connections, General |
| Paper Information | |
| Registration To | NS |
| Conference Code | 2022-04-NS |
| Language | English |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | An Actor-Critic based Reinforcement Learning Algorithm for Combinatorial Optimization and Mobile Power Trucks Routing Problem |
| Sub Title (in English) | |
| Keyword(1) | Reinforcement Learning |
| Keyword(2) | Actor-Critic |
| Keyword(3) | Combinatorial Optimization |
| Keyword(4) | TSP |
| Keyword(5) | Disaster Response of Telecommunication Exchange Building |
| Keyword(6) | |
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| Keyword(8) | |
| 1st Author's Name | Zhao Wang |
| 1st Author's Affiliation | NTT LAB (NTT) |
| 2nd Author's Name | Yuhei Senuma |
| 2nd Author's Affiliation | Waseda University (Waseda Univ.) |
| 3rd Author's Name | Yuusuke Nakano |
| 3rd Author's Affiliation | NTT LAB (NTT) |
| 4th Author's Name | Jun Ohya |
| 4th Author's Affiliation | Waseda University (Waseda Univ.) |
| 5th Author's Name | Ken Nishimatsu |
| 5th Author's Affiliation | NTT LAB (NTT) |
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| Speaker | Author-1 |
| Date Time | 2022-04-15 10:45:00 |
| Presentation Time | 25 minutes |
| Registration for | NS |
| Paper # | NS2022-1 |
| Volume (vol) | vol.122 |
| Number (no) | no.5 |
| Page | pp.1-6 |
| #Pages | 6 |
| Date of Issue | 2022-04-08 (NS) |
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