Title :
Experience based learning in policy control of multiagent system
Author :
Damba, Ariuna ; Watanabe, Shigeyoshi
Author_Institution :
Grad. Sch. of Electro-Commun., Univ. of Electro-Commun., Chofu
Abstract :
In this paper a method of simulated learning of policy control is proposed for dynamic multiagent system, where agentpsilas decision mechanism is represented as a function of agentpsilas past experience. The system of homogeneous agents with different sensor input and effector output is considered.
Keywords :
learning (artificial intelligence); multi-agent systems; optimal control; experience based learning; multiagent system; policy control; Adaptation model; Artificial intelligence; Control system synthesis; Control systems; Decision making; History; Learning; Monte Carlo methods; Multiagent systems; Power system modeling; Monte Carlo Approach; Multi-vehicle Simulation; Multiagent System; Optimal Control; Reinforcement Learning;
Conference_Titel :
Cybernetics and Intelligent Systems, 2008 IEEE Conference on
Conference_Location :
Chengdu
Print_ISBN :
978-1-4244-1673-8
Electronic_ISBN :
978-1-4244-1674-5
DOI :
10.1109/ICCIS.2008.4670964
