Towards learning-augmented languages

Abstract

Reinforcement learning (RL) has seen tremendous success at solving a variety of problems ranging from industrial automation to games. This paper describes how existing programming languages can be augmented with new features so as to allow developers to exploit the power of modern RL algorithms and implementations.

BibTeX

@inproceedings{Sun:FSE18,
  author    = {Xinyuan Sun},
  title     = {Towards learning-augmented languages},
  booktitle = {{ESEC/SIGSOFT} {FSE}},
  pages     = {959--961},
  publisher = {{ACM}},
  year      = {2018},
}

Towards learning-augmented languages

Abstract

Related papers