Harukazu Igarashi

Professor

Source: Scopus
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44 Citations
4 h-Index
46 Article
12 Conference contribution
1 Paper

Policy gradient reinforcement learning with separated knowledge: Environmental dynamics and action-values in policies
Ishihara, S. & Igarashi, H., 2016, In: IEEJ Transactions on Electronics, Information and Systems. 136, 3, p. 282-289 8 p.
Research output: Contribution to journal › Article › peer-review
Policy gradient method using fuzzy controller in policies and its application
Noor Imanina, N. H. & Igarashi, H., 2014, International Conference on Artificial Intelligence and Pattern Recognition, AIPR 2014, Held at the 3rd World Congress on Computing and Information Technology, WCIT. Society of Digital Information and Wireless Communications (SDIWC), p. 167-174 8 p.
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
Agent Control in Multiagent Systems: Reinforcement Learning of Weight Parameters in Particle Swarm Optimization
Igarashi, H., H, M., a, A., Ishihara, S. & Sasano, I., 2012 Mar 31, In: The research reports of Shibaura Institute of Technology -- Natural Sciences and Engineering. 56, p. 1-8
Research output: Contribution to journal › Article › peer-review
Learning of Soccer Player Agents Using a Policy Gradient Method : Coordination between Kicker and Receiver during Free Kicks
Igarashi, H. & Ishihara, H. IKS., 2011 Apr 4, In: International Journal of Artificial Intelligence and Expert Systems. 2, p. 123-135
Research output: Contribution to journal › Article › peer-review
Policy gradient approach for learning of soccer player agents: Pass selection of midfielders
Igarashi, H., Fukuoka, H. & Ishihara, S., 2011 Jan 10, Intelligent Control and Computer Engineering. p. 137-148 12 p. (Lecture Notes in Electrical Engineering; vol. 70 LNEE).
Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

Policy gradient reinforcement learning with separated knowledge: Environmental dynamics and action-values in policies

Policy gradient method using fuzzy controller in policies and its application

Agent Control in Multiagent Systems: Reinforcement Learning of Weight Parameters in Particle Swarm Optimization

Learning of Soccer Player Agents Using a Policy Gradient Method : Coordination between Kicker and Receiver during Free Kicks

Policy gradient approach for learning of soccer player agents: Pass selection of midfielders