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Ants and Reinforcement Learning: A Case Study in Routing in Dynamic Networks
We investigate two new distributed routing algorithms for data networks based on simple biological "ants" that explore the network and rapidly learn good routes, using a novel variation of reinforcement learning. These two ...
New Approaches to Routing for Large-Scale Data Networks
This thesis develops new routing methods for large-scale, packet-switched data networks such as the Internet. The methods developed increase network performance by considering routing approaches that take advantage of more ...
A Simple, Practical Distributed Multi-Path Routing Algorithm
We present a simple and practical distributed routing algorithm based on backward learning. The algorithm periodically floods \emscout packets that explore paths to a destination in reverse. Scout packets are small and of ...
A New Approach to Routing With Dynamic Metrics
We present a new routing algorithm to compute paths within a network using dynamic link metrics. Dynamic link metrics are cost metrics that depend on a link's dynamic characteristics, e.g., the congestion on the link. Our ...