Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop (AICT/SAPIR/ELETE'05) Introduction to Multi-Agent Modified Q-Learning Routing for Computer Networks Lisbon, Portugal July 17-July 22 ISBN: 0-7695-2388-9
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/AICT.2005.53
Routing is an important issue in designing modern communication environments as well as in working of distributed systems. This paper concerns a concept of using Reinforcement Learning in the case of routing in computer networks. For this problem we propose a multi-agent approach called Modified Q-learning Routing. The proposed idea is compared with actually working solutions: distance-vector and deterministic routing. The properties and some experiments are presented, and it is shown that the proposed algorithm achieves better results than its opponents.
Citation:
Radosław Rudek, Leszek Koszałka, Iwona Pozniak-Koszałka, "Introduction to Multi-Agent Modified Q-Learning Routing for Computer Networks," aict-sapir-elete, pp.408-413, Advanced Industrial Conference on Telecommunications/Service Assurance with Partial and Intermittent Resources Conference/E-Learning on Telecommunications Workshop (AICT/SAPIR/ELETE'05), 2005 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||