Reinforcement Learning Applications
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Abstract (arXiv)
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.
Key facts. Cited by 1 paper in the map (data through 7 Oct 2026). First posted on arXiv 19 Aug 2019.
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