Hybrid Autonomous Control for Heterogeneous Multi-Agent System, -Combining of Centralized Reinforcement Learning and Distributed Rule-Based Control-

Akio Gofuku

Hybrid Autonomous Control for Heterogeneous Multi-Agent System, -Combining of Centralized Reinforcement Learning and Distributed Rule-Based Control-

Faculty of Engineering

Research output: Contribution to journal › Article

Original language	English
Pages (from-to)	2500-2505
Number of pages	6
Journal	Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems
Publication status	Published - 2003

Cite this

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title = "Hybrid Autonomous Control for Heterogeneous Multi-Agent System, -Combining of Centralized Reinforcement Learning and Distributed Rule-Based Control-",

author = "Akio Gofuku",

year = "2003",

language = "English",

pages = "2500--2505",

journal = "Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems",

}

TY - JOUR

T1 - Hybrid Autonomous Control for Heterogeneous Multi-Agent System, -Combining of Centralized Reinforcement Learning and Distributed Rule-Based Control-

AU - Gofuku, Akio

PY - 2003

Y1 - 2003

M3 - Article

SP - 2500

EP - 2505

JO - Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems

JF - Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems

ER -