Research Output per year
Fingerprint 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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Research Output
Analysis of coordinated behavior structures with multi-agent deep reinforcement learning
Miyashita, Y. & Sugawara, T., 2020, (Accepted/In press) In : Applied Intelligence.Research output: Contribution to journal › Article
Open Access
Analysis of Diversity and Dynamics in Co-evolution of Cooperation in Social Networking Services
Miura, Y., Toriumi, F. & Sugawara, T., 2020, Complex Networks and Their Applications VIII - Volume 1 Proceedings of the 8th International Conference on Complex Networks and Their Applications, COMPLEX NETWORKS 2019. Cherifi, H., Gaito, S., Mendes, J. F., Moro, E. & Rocha, L. M. (eds.). Springer, p. 495-506 12 p. (Studies in Computational Intelligence; vol. 881 SCI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Comparison of Opinion Polarization on Single-Layer and Multiplex Networks
Kimura, S., Asatani, K. & Sugawara, T., 2020, Complex Networks and Their Applications VIII - Volume 2 Proceedings of the 8th International Conference on Complex Networks and Their Applications COMPLEX NETWORKS 2019. Cherifi, H., Gaito, S., Mendes, J. F., Moro, E. & Rocha, L. M. (eds.). Springer, p. 709-721 13 p. (Studies in Computational Intelligence; vol. 882 SCI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Learning Efficient Coordination Strategy for Multi-step Tasks in Multi-agent Systems using Deep Reinforcement Learning
Zhu, Z., Oury Diallo, E. A. & Sugawara, T., 2020, ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence. Rocha, A., Steels, L. & van den Herik, J. (eds.). SciTePress, p. 287-294 8 p. (ICAART 2020 - Proceedings of the 12th International Conference on Agents and Artificial Intelligence; vol. 1).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Multi-agent Service Area Adaptation for Ride-Sharing Using Deep Reinforcement Learning
Yoshida, N., Noda, I. & Sugawara, T., 2020, Advances in Practical Applications of Agents, Multi-Agent Systems, and Trustworthiness. The PAAMS Collection - 18th International Conference, PAAMS 2020, Proceedings. Demazeau, Y., Holvoet, T., Corchado, J. M. & Costantini, S. (eds.). Springer, p. 363-375 13 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 12092 LNAI).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution