Personalized and Energy-Efficient Health Monitoring: A Reinforcement Learning Approach
Author:
Affiliation:
1. Department of Statistics, Tel Aviv University, Tel Aviv, Israel
2. Department of Electrical Engineering, Stanford University, Stanford, CA, USA
3. Department of Industrial Engineering, Tel Aviv University, Tel Aviv, Israel
Funder
Koret Foundation Grant for Smart Cities and Digital Living
Publisher
Institute of Electrical and Electronics Engineers (IEEE)
Subject
Control and Optimization,Control and Systems Engineering
Link
http://xplorestaging.ieee.org/ielx7/7782633/9828546/09984827.pdf?arnumber=9984827
Reference17 articles.
1. Context-Based Statistical Process Control
2. Dealing with Unknown Unknowns: Identification and Selection of Minimal Sensing for Fractional Dynamics with Unknown Inputs
3. Wireless Body Area Network Control Policies for Energy-Efficient Health Monitoring
4. Acting optimally in partially observable stochastic domains;cassandra;Proc AAAI,1994
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