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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.

  • 14 Similar Profiles
Multi agent systems Engineering & Materials Science
Internet Engineering & Materials Science
Multi-agent Systems Mathematics
Reinforcement learning Engineering & Materials Science
Intelligent agents Engineering & Materials Science
Autonomous agents Engineering & Materials Science
Complex networks Engineering & Materials Science
Robots Engineering & Materials Science

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Research Output 1984 2019

  • 458 Citations
  • 10 h-Index
  • 100 Conference contribution
  • 43 Article
  • 3 Chapter

Coordinated behavior of cooperative agents using deep reinforcement learning

Diallo, E. A. O., Sugiyama, A. & Sugawara, T., 2019 Jan 1, In : Neurocomputing.

Research output: Contribution to journalArticle

Reinforcement learning
Cooperative Behavior
Learning
Network architecture
Reward

Learning of activity cycle length based on battery limitation in multi-agent continuous cooperative patrol problems

Sugiyama, A., Wu, L. & Sugawara, T., 2019 Jan 1, ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence. Rocha, A., Steels, L. & van den Herik, J. (eds.). SciTePress, p. 62-71 10 p. (ICAART 2019 - Proceedings of the 11th International Conference on Agents and Artificial Intelligence; vol. 1).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Robots
Intelligent control
Sensors
1 Citation (Scopus)

Asynchronous agent teams for collaborative tasks based on bottom-up alliance formation and adaptive behavioral strategies

Hayano, M., Iijima, N. & Sugawara, T., 2018 Mar 29, Proceedings - 2017 IEEE 15th International Conference on Dependable, Autonomic and Secure Computing, 2017 IEEE 15th International Conference on Pervasive Intelligence and Computing, 2017 IEEE 3rd International Conference on Big Data Intelligence and Computing and 2017 IEEE Cyber Science and Technology Congress, DASC-PICom-DataCom-CyberSciTec 2017. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-January. p. 589-596 8 p.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Actuators
Cooperative Behavior
Technology
Equipment and Supplies
Conflict (Psychology)
Multi agent systems
Decision making
Costs
1 Citation (Scopus)

Frequency-based multi-agent patrolling model and its area partitioning solution method for balanced workload

Sea, V., Sugiyama, A. & Sugawara, T., 2018 Jan 1, Integration of Constraint Programming, Artificial Intelligence, and Operations Research - 15th International Conference, CPAIOR 2018, Proceedings. Springer-Verlag, p. 530-545 16 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 10848 LNCS).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Multi-agent Model
Workload
Partitioning
Operations research
Computational efficiency