Reinforcement Learning Applications
arXiv:1908.06973
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.
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Cited by in corpus (4)
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- Balancing a CartPole System with Reinforcement Learning -- A Tutorial
- A Game-Based Approach for Helping Designers Learn Machine Learning Concepts
- BF++: a language for general-purpose program synthesis