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

Gofuku, A. (2003). Hybrid Autonomous Control for Heterogeneous Multi-Agent System, -Combining of Centralized Reinforcement Learning and Distributed Rule-Based Control-. Proc. of IEEE/RSJ International Conference on Intelligent Robots and Systems, 2500-2505.

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author = "Akio Gofuku",

year = "2003",

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AU - Gofuku, Akio

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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

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