# Neural Architecture Search with Reinforcement Learning by Zoph, B., & Le, Q. V. (2017)

tags
NAS
source
(Zoph and Le 2017)

## Summary

This paper introduces the idea of using a RNN controller system to generate the operations of a neural network. In a first setting the authors use this method to construct CNNs. The controller samples an architecture, the architecture is built and trained and the controller is rewarded with the maximum validation accuracy of the last 5 epochs cubed (??).

Another experiment uses this exploration method to produce recurrent cell through a complicated model based on a tree of units, for each of which the controller samples an operation.