Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation-Reference-Cited by-同舟云学术

Hierarchical Imitation Learning via Subgoal Representation Learning for Dynamic Treatment Recommendation

Published:2022-02-11 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the Fifteenth ACM International Conference on Web Search and Data Mining
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Author:

Wang Lu¹,Tang Ruiming²,He Xiaofeng¹,He Xiuqiang³

Affiliation:

1. East China Normal University, Shanghai, China

2. Huawei Noah's Ark Lab, Shenzhen, China

3. Huawei Noah's Ark Lab, Shenzhen, Hong Kong

Funder

Huawei Noah's Ark Lab intern program

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3488560.3498535

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4. Jacek M Bajor and Thomas A Lasko. 2017. Predicting Medications from DiagnosticCodes with Recurrent Neural Networks.ICLR(2017). Jacek M Bajor and Thomas A Lasko. 2017. Predicting Medications from DiagnosticCodes with Recurrent Neural Networks.ICLR(2017).

5. Melanie K Bothe , Luke Dickens , Katrin Reichel , Arn Tellmann , Bjoern Ellger , Martin Westphal , and Ahmed A Faisal . 2013. The use of reinforcement learningalgorithms to meet the challenges of an artificial pancreas.Expert review ofmedical devices10, 5 ( 2013 ), 661--673. Melanie K Bothe, Luke Dickens, Katrin Reichel, Arn Tellmann, Bjoern Ellger,Martin Westphal, and Ahmed A Faisal. 2013. The use of reinforcement learningalgorithms to meet the challenges of an artificial pancreas.Expert review ofmedical devices10, 5 (2013), 661--673.

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