Papers - MATSUI Toshihiro

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  • Fundamental Study of Framework for Implementing and Evaluating Different Types of Distributed Constraint Optimization Methods on Low QoS Pub-Sub Communication Systems

    Toshihiro Matsui

    Proc. 23th Forum on Information Technology (FIT2024)   2   493 - 495   2024.09

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Implementation of Real-Time Local Search Method for Distributed Constraint Optimization with Message Loss in Pub/Sub Communication Reviewed

    Toshihiro Matsui

    Proc. 22nd International Conference on Practical applications of Agents and Multi-Agent Systems (printing)   2024.06

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

  • A Study of Decentralized Optimization Method Based on Evolutionary Algorithm Under Message Loss

    Toshihiro Matsui

    Proc. the 38th Annual Conference of the Japanese Society for Artificial Intelligence   2F4-GS-5   2024.05

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Integration of Efficient Techniques Based on Endpoints in Solution Method for Lifelong Multiagent Pickup and Delivery Problem Invited Reviewed

    Toshihiro Matsui

    Systems   12 ( 4 )   #112   2024.04

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    Authorship:Lead author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: 10.3390/systems12040112

  • A Study Toward Implementation of Local Search Methods for Distributed Constraint Optimization Problems on Publish/Subscribe Communication Platforms

    Toshihiro Matsui

    Proc. the 86th national convention of IPSJ   2   51 - 52   2024.03

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Study of Improving Multiagent Pathfinding Method under Continuous Time and Increased Move Directions

    Kaisei Tsukamoto and Toshihiro Matsui

    Proc. 2024 IEICE General Conference   D-8-15   2024.03

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (other academic)  

  • Improving Learning Efficiency of SRDQN+RDPM for Beer Game by using Transfer Learning

    Masaaki Hori and Toshihiro Matsui

    Proc. 2024 IEICE General Conference   D-8-11   2024.03

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Applying Graph Neural Networks and Reinforcement Learning to the Multiple Depot-Multiple Traveling Salesman Problem

    Dongyeop Kim and Toshihiro Matsui

    IEICE Technical Report   AI2023-39   2024.03

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • An Investigation of Distributed Constraint Optimization with Non-Responding Agents Toward Real-Time Solution Method on Practical Messaging Platforms Reviewed

    Toshihiro Matsui

    Proc. 16th International Conference on Agents and Artificial Intelligence   1   428 - 437   2024.02

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.5220/0012471000003636

  • Investigation of Heuristics for PIBT Solving Continuous MAPF Problem in Narrow Warehouse Reviewed

    Toshihiro Matsui

    Proc. 16th International Conference on Agents and Artificial Intelligence   1   341 - 350   2024.02

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.5220/0012397900003636

  • 複数エージェント集配問題の解法における通路構造にもとづく移動方向制御の検討

    松井俊浩

    人工知能学会第126回人工知能基本問題研究会   2023.11

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Improving Multi-Agent Reinforcement Learning for Beer Game by Reward Design Based on Payment Mechanism Reviewed

    Masaaki Hori,Toshihiro Matsui

    International Journal of Smart Computing and Artificial Intelligence   7 ( 2 )   IJSCAI789   2023.11

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    Authorship:Last author   Language:English   Publishing type:Research paper (scientific journal)  

    DOI: https://doi.org/10.52731/ijscai.v7.i2.789

  • 出版-購読型通信プラットフォームにおける分散制約最適化手法の基礎検討

    松井俊浩

    電子情報通信学会人工知能と知識処理研究会(AI)技術報告   AI2023-27   2023.09

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • 複数エージェントの集配タスク計画における地図と交通状況に基づく経路探索と制御手法の活用の検討

    松井俊浩

    第22回情報科学技術フォーラム(FIT2023)講演論文集   2   449 - 450   2023.09

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • Investigation of Integrating Solution Techniques for Lifelong MAPD Problem Considering Endpoints Reviewed

    Toshihiro Matsui

    Porc. 21st International Conference on Practical applications of Agents and Multi-Agent System   175 - 187   2023.07

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: https://doi.org/10.1007/978-3-031-37616-0_15

  • 経路の端点に基づく複数エージェント集配問題の解法における効率化手法の統合の検討

    松井俊浩

    2023年度人工知能学会全国大会(第37回)論文集   2T4-GS-5-05   2023.06

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • エージェントの消耗と回復を伴う複数エージェント集配問題の検討

    大竹啓吾,松井俊浩

    2023年電子情報通信学会総合大会, 情報・システム講演論文集   1   65 - 65   2023.03

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    Authorship:Last author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • 複数エージェント集配問題の解法における経路制御による支援手法の一検討

    松井俊浩

    情報処理学会第85回全国大会講演論文集   2   11 - 12   2023.03

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    Authorship:Lead author   Language:Japanese   Publishing type:Research paper (conference, symposium, etc.)  

  • A Study Toward Multi-Objective Multiagent Reinforcement Learning Considering Worst Case and Fairness Among Agents Reviewed

    Toshihiro Matsui

    Proceedings of the 15th International Conference on Agents and Artificial Intelligence   1   269 - 277   2023.02

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: 10.5220/0011687100003393

  • Study on Decentralized Anytime Evolutionary Algorithm for DCOPs Containing Adversarial Agents Reviewed

    Toshihiro Matsui

    Proceedings of the 15th International Conference on Agents and Artificial Intelligence   1   338 - 346   2023.02

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    Authorship:Lead author   Language:English   Publishing type:Research paper (international conference proceedings)  

    DOI: https://doi.org/10.5220/0011758800003393

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