Practical Applications of Reinforcement Learning Research

Abstract

Reinforcement learning, a research field of machine learning for optimizing through trial-and-error, is often considered as a narrowly-aimed technique for autonomous agents such as robots. Recently, reinforcement learning are getting applied to many practical problems in wide fields as an optimization technique for unknown environment including data collection schedule. In this review, we introduce some of these recent applications to overview a possible future areas suitable to reinforcement learning.