Reinforcement Learning Applications

Yuxi Li

Reinforcement Learning Applications

Machine Learning 2019-08-21 v1 Artificial Intelligence

Authors: Yuxi Li

Abstract

We start with a brief introduction to reinforcement learning (RL), about its successful stories, basics, an example, issues, the ICML 2019 Workshop on RL for Real Life, how to use it, study material and an outlook. Then we discuss a selection of RL applications, including recommender systems, computer systems, energy, finance, healthcare, robotics, and transportation.

Keywords

reinforcement learning machine learning

Cite

@article{arxiv.1908.06973,
  title  = {Reinforcement Learning Applications},
  author = {Yuxi Li},
  journal= {arXiv preprint arXiv:1908.06973},
  year   = {2019}
}

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