Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks

Part of Advances in Neural Information Processing Systems 10 (NIPS 1997)

Authors

Peter Marbach, Oliver Mihatsch, Miriam Schulte, John Tsitsiklis

Abstract

We provide a model of the standard watermaze task, and of a more challenging task involving novel platform locations, in which rats exhibit one-trial learning after a few days of training. The model uses hippocampal place cells to support reinforcement learning, and also, in an integrated manner, to build and use allocentric coordinates.