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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.

  • 19 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

  • 467 Citations
  • 10 h-Index
  • 105 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

Cooperation and Coordination Regimes by Deep Q-Learning in Multi-agent Task Executions

Miyashita, Y. & Sugawara, T., 2019 Jan 1, Artificial Neural Networks and Machine Learning – ICANN 2019: Theoretical Neural Computation - 28th International Conference on Artificial Neural Networks, 2019, Proceedings. Tetko, I. V., Karpov, P., Theis, F. & Kurková, V. (eds.). Springer-Verlag, p. 541-554 14 p. (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); vol. 11727 LNCS).

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

Q-learning
Multi agent systems
Multi-agent Systems
Personnel
Game

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