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Titlebook: Distributed Autonomous Robotic Systems; Hajime Asama (Research Scientist),Toshio Fukuda (P Conference proceedings 1994 Springer-Verlag Tok

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Rule Generation and Generalization by Inductive Decision Tree and Reinforcement Learningvation method. For generalizing the rules, an inductive decision tree is introduced to the agent. In a new workspace, the agent plans a path efficiently by learning a specific rule to the new workspace, and using the generalized rules. Some computational simulations have been carried out for verifying the proposed agent.
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Manufacturing in the Future -Some Topics of IMS-r, that is, 1995. There are still some uncertain points, however, regarding the understanding of the purpose of the program. It is necessary, therefore, to elucidate the purpose of the program and the possible impact that it may have on manufacturing technology.
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