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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.

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

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Research Output 1984 2019

  • 463 Citations
  • 10 h-Index
  • 104 Conference contribution
  • 43 Article
  • 3 Chapter

Analysis of Traffic Congestion Reducer Agents on Multi-Lane Highway

Ishihara, Y. & Sugawara, T., 2019 Feb 1, Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019. Institute of Electrical and Electronics Engineers Inc., p. 135-141 7 p. 8782519. (Proceedings - 2019 2nd International Conference on Intelligent Autonomous Systems, ICoIAS 2019).

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

Traffic Congestion
Traffic congestion
Congestion
Railroad cars
Autonomous agents

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

Multiple world genetic algorithm to analyze individually advantageous behaviors in complex networks

Miura, Y., Toriumi, F. & Sugawara, T., 2019 Jul 13, GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion. Association for Computing Machinery, Inc, p. 297-298 2 p. (GECCO 2019 Companion - Proceedings of the 2019 Genetic and Evolutionary Computation Conference Companion).

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

Complex networks
Complex Networks
Genetic algorithms
Genetic Algorithm
Network Analysis
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)