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Reinforcement Learning Applications

Authors :
Li, Yuxi
Publication Year :
2019

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.

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.1908.06973
Document Type :
Working Paper