Reinforcement Learning Applications
arXiv:1908.06973v115 citations
AI Analysis
This is an incremental survey paper that summarizes existing RL applications for researchers and practitioners.
The paper provides an overview of reinforcement learning (RL), covering its basics, issues, and a workshop, and discusses its applications across various domains such as recommender systems, healthcare, and robotics.
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.