Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing-Reference-Cited by-同舟云学术

Auxiliary-task Based Deep Reinforcement Learning for Participant Selection Problem in Mobile Crowdsourcing

Published:2020-10-19 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 29th ACM International Conference on Information & Knowledge Management
language:
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Author:

Shen Wei¹,He Xiaonan¹,Zhang Chuheng²,Ni Qiang³,Dou Wanchun⁴,Wang Yan⁵

Affiliation:

1. Baidu Inc., Beijing, China

2. Tsinghua University, Beijing, China

3. Lancaster University, Lancaster, United Kingdom

4. Nanjing University, Nanjing, China

5. Tencent Holdings Ltd., Guangzhou, China

Funder

the Key Research and Development Project of Jiangsu Province

National Natural Science Foundation of China

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3340531.3411913

Reference43 articles.

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3. Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016). Jimmy Lei Ba Jamie Ryan Kiros and Geoffrey E Hinton. 2016. Layer normalization. arXiv preprint arXiv:1607.06450 (2016).

4. Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. Openai gym. arXiv preprint arXiv:1606.01540 (2016). Greg Brockman Vicki Cheung Ludwig Pettersson Jonas Schneider John Schulman Jie Tang and Wojciech Zaremba. 2016. Openai gym. arXiv preprint arXiv:1606.01540 (2016).

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