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Pricing Scheme based Nash Q-learning Flow Control for Multi-user Network
Li X(李鑫); Yu HB(于海斌)
Conference NameInternational Conference on Materials, Mechatronics and Automation (ICMMA 2011)
Conference DateJAN 15-16, 2011
Conference PlaceMelbourne, AUSTRALIA
Source PublicationKey Engineering Materials
Publication PlaceSTAFA-ZURICH, Switzerland
Indexed ByEI ; CPCI(ISTP)
EI Accession number20111113753558
WOS IDWOS:000303364700158
Contribution Rank1
KeywordComputer Simulation Controllers Costs Flow Control High Speed Networks Mechatronics Quality Of Service Time Varying Networks Traffic Congestion
AbstractFor the congestion problems with multi-user existing in high-speed networks, a pricing scheme based Nash Q-learning flow controller is proposed. It considers a network with a single service provider, and some non-cooperative users. The pricing scheme is introduced to the design of the reward function in the learning process of Q-learning. Because of the uncertainties and highly time-varying, it is not easy to accurately obtain the complete information for high-speed networks. The Nash Q-learning, which is independent of mathematic model, shows particular superiority. It obtains the Nash Q-values through trial-and-error and interaction with the environment to improve its behavior policy. By means of learning process, the proposed controller can learn to take the best actions to regulate source flow with the features of high quality of service. Simulation results show that the proposed controller can promote the performance of the networks and avoid the occurrence of congestion effectively.
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Document Type会议论文
Corresponding AuthorLi X(李鑫)
AffiliationShenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, Liaoning, 110016, China
Recommended Citation
GB/T 7714
Li X,Yu HB. Pricing Scheme based Nash Q-learning Flow Control for Multi-user Network[C]. STAFA-ZURICH, Switzerland:TRANS TECH PUBLICATIONS LTD,2011:847-852.
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