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Personalized Multimorbidity Management for Patients with Type 2 Diabetes Using Reinforcement Learning of Electronic Health Records
Comorbid chronic conditions are common among people with type 2 diabetes...
10/29/2020 ∙ by Hua Zheng, et al. ∙
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Inductively Representing Out-of-Knowledge-Graph Entities by Optimal Estimation Under Translational Assumptions
Conventional Knowledge Graph Completion (KGC) assumes that all test enti...
09/27/2020 ∙ by Damai Dai, et al. ∙
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Green Simulation Assisted Reinforcement Learning with Model Risk for Biomanufacturing Learning and Control
Biopharmaceutical manufacturing faces critical challenges, including com...
06/17/2020 ∙ by Hua Zheng, et al. ∙
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Reinforcement Learning for Market Making in a Multi-agent Dealer Market
Market makers play an important role in providing liquidity to markets b...
11/14/2019 ∙ by Sumitra Ganesh, et al. ∙
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Global-Local Metamodel Assisted Two-Stage Optimization via Simulation
To integrate strategic, tactical and operational decisions, the two-stag...
10/13/2019 ∙ by Wei Xie, et al. ∙
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