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

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

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Peter Marbach, Oliver Mihatsch, Miriam Schulte, John Tsitsiklis


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.