Research output per year
Research output per year
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Dive into the research topics where Toshiharu Sugawara is active. These topic labels come from the works of this person. Together they form a unique fingerprint.
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Distributed and Asynchronous Planning and Execution for Multi-agent Systems through Short-Sighted Conflict Resolution
Miyashita, Y., Yamauchi, T. & Sugawara, T., 2022, Proceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022. Va Leong, H., Sarvestani, S. S., Teranishi, Y., Cuzzocrea, A., Kashiwazaki, H., Towey, D., Yang, J-J. & Shahriar, H. (eds.). Institute of Electrical and Electronics Engineers Inc., p. 14-23 10 p. (Proceedings - 2022 IEEE 46th Annual Computers, Software, and Applications Conference, COMPSAC 2022).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Impact of Monetary Rewards on Users’ Behavior in Social Media
Usui, Y., Toriumi, F. & Sugawara, T., 2022, Complex Networks and Their Applications X - Proceedings of the 10th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2021. Benito, R. M., Cherifi, C., Cherifi, H., Moro, E., Rocha, L. M. & Sales-Pardo, M. (eds.). Springer Science and Business Media Deutschland GmbH, p. 632-643 12 p. (Studies in Computational Intelligence; vol. 1015).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Standby-Based Deadlock Avoidance Method for Multi-Agent Pickup and Delivery Tasks
Yamauchi, T., Miyashita, Y. & Sugawara, T., 2022, International Conference on Autonomous Agents and Multiagent Systems, AAMAS 2022. International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), p. 1427-1435 9 p. (Proceedings of the International Joint Conference on Autonomous Agents and Multiagent Systems, AAMAS; vol. 3).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
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Analysis of coordinated behavior structures with multi-agent deep reinforcement learning
Miyashita, Y. & Sugawara, T., 2021 Feb, In: Applied Intelligence. 51, 2, p. 1069-1085 17 p.Research output: Contribution to journal › Article › peer-review
Open Access1 Citation (Scopus) -
Analysis of Coordination Structures of Partially Observing Cooperative Agents by Multi-agent Deep Q-Learning
Smith, K., Miyashita, Y. & Sugawara, T., 2021, PRIMA 2020: Principles and Practice of Multi-Agent Systems - 23rd International Conference, 2020, Proceedings. Uchiya, T., Bai, Q. & Marsá Maestre, I. (eds.). Springer Science and Business Media Deutschland GmbH, p. 150-164 15 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12568 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution