Sept. 15, 2022, 1:11 a.m. | Anna L. Trella, Kelly W. Zhang, Inbal Nahum-Shani, Vivek Shetty, Finale Doshi-Velez, Susan A. Murphy

cs.LG updates on arXiv.org arxiv.org

Dental disease is one of the most common chronic diseases despite being
largely preventable. However, professional advice on optimal oral hygiene
practices is often forgotten or abandoned by patients. Therefore patients may
benefit from timely and personalized encouragement to engage in oral self-care
behaviors. In this paper, we develop an online reinforcement learning (RL)
algorithm for use in optimizing the delivery of mobile-based prompts to
encourage oral hygiene behaviors. One of the main challenges in developing such
an algorithm is …

algorithm arxiv design online reinforcement learning reinforcement reinforcement learning

AI Research Scientist

@ Vara | Berlin, Germany and Remote

Data Architect

@ University of Texas at Austin | Austin, TX

Data ETL Engineer

@ University of Texas at Austin | Austin, TX

Lead GNSS Data Scientist

@ Lurra Systems | Melbourne

Senior Machine Learning Engineer (MLOps)

@ Promaton | Remote, Europe

Business Data Analyst

@ Alstom | Johannesburg, GT, ZA