Confidence Based Dual Reinforcement Q-Routing: An adaptive online network routing algorithm

@inproceedings{Kumar1999ConfidenceBD,
  title={Confidence Based Dual Reinforcement Q-Routing: An adaptive online network routing algorithm},
  author={Shailesh Kumar and Risto Miikkulainen},
  booktitle={IJCAI},
  year={1999}
}
This paper describes and evaluates the Con dence-based Dual Reinforcement QRouting algorithm (CDRQ-Routing) for adaptive packet routing in communication networks. CDRQ-Routing is based on an application of the Q-learning framework to network routing, as rst proposed by Littman and Boyan (1993). The main contribution of CDRQ-routing is an increased quantity and an improved quality of exploration. Compared to Q-Routing, the state-of-the-art adaptive Bellman-Ford Routing algorithm, and the non… CONTINUE READING
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