call admission control
Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks
Marbach, Peter, Mihatsch, Oliver, Schulte, Miriam, Tsitsiklis, John N.
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. 1 INTRODUCTION
Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks
Marbach, Peter, Mihatsch, Oliver, Schulte, Miriam, Tsitsiklis, John N.
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. 1 INTRODUCTION
Reinforcement Learning for Call Admission Control and Routing in Integrated Service Networks
Marbach, Peter, Mihatsch, Oliver, Schulte, Miriam, Tsitsiklis, John N.
Peter Dayan E25-210, MIT Cambridge, MA 02139 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. 1 INTRODUCTION