| Presentation | 2008-10-23 Application of Q-Routing with parameter control to dynamic network environments Shunsuke ARAKI, Masaharu ADACHI, |
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| PDF Download Page |  PDF download Page Link |
| Abstract(in Japanese) | (See Japanese page) |
| Abstract(in English) | In recent years, scales of Wide Area Network (WAN) and Backbone Network are growing because of increase of the number of network users. However, it becomes more difficult to manage the traffic control in centralized way as the scale of the network grows. It is difficult to adjust traffics to dynamic network environments (an increase in network loading). Q-Routing is an autonomous distributed routing approach based on the framework of reinforcement learning, and the capacity for adapting to dynamic network environments is known to be high. In this report, we propose a parameter control method for the Q-Routing and show that it improves the capacity of the method for adapting to dynamic network environments by numerical experiments. |
| Keyword(in Japanese) | (See Japanese page) |
| Keyword(in English) | Reinforcement learning / Routing / Dynamic environment / Parameter control |
| Paper # | NC2008-36 |
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| Committee | NC |
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| Conference Date | 2008/10/16(1days) |
| Place (in Japanese) | (See Japanese page) |
| Place (in English) | |
| Topics (in Japanese) | (See Japanese page) |
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| Paper Information | |
| Registration To | Neurocomputing (NC) |
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| Language | JPN |
| Title (in Japanese) | (See Japanese page) |
| Sub Title (in Japanese) | (See Japanese page) |
| Title (in English) | Application of Q-Routing with parameter control to dynamic network environments |
| Sub Title (in English) | |
| Keyword(1) | Reinforcement learning |
| Keyword(2) | Routing |
| Keyword(3) | Dynamic environment |
| Keyword(4) | Parameter control |
| 1st Author's Name | Shunsuke ARAKI |
| 1st Author's Affiliation | Department of Electronic Engineering, Graduate School of Engineering, Tokyo Denki University() |
| 2nd Author's Name | Masaharu ADACHI |
| 2nd Author's Affiliation | Department of Electronic Engineering, Graduate School of Engineering, Tokyo Denki University |
| Date | 2008-10-23 |
| Paper # | NC2008-36 |
| Volume (vol) | vol.108 |
| Number (no) | 264 |
| Page | pp.pp.- |
| #Pages | 6 |
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