In plain words: A tour of reinforcement learning — software that learns by trial and reward — covering its basics and how it is used in recommenders, energy, finance, healthcare, robots, and transport. It collects success stories and practical guidance for putting it to work in real settings.
Abstract · Reinforcement Learning Applications
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.
Yuxi Li
arXiv:1908.06973 · cs.LG, cs.AI · submitted Aug 19, 2019
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