An online reinforcement learning approach to quality-cost-aware task allocation for multi-attribute social sensing-Reference-Cited by-同舟云学术

An online reinforcement learning approach to quality-cost-aware task allocation for multi-attribute social sensing

Published:2019-11 Issue: Volume:60 Page:101086
ISSN:1574-1192
Container-title:Pervasive and Mobile Computing
language:en
Short-container-title:Pervasive and Mobile Computing

Author:

Zhang Yang,Zhang Daniel (Yue),Vance Nathan,Wang Dong

Funder

National Science Foundation

Army Research Office

Publisher

Elsevier BV

Subject

Software,Computer Science Applications,Hardware and Architecture,Computer Networks and Communications,Information Systems

Reference52 articles.

1. The age of social sensing;Wang;Computer,2019

2. Social Sensing: Building Reliable Systems on Unreliable Data;Wang,2015

3. CCS-TA: Quality-guaranteed online task allocation in compressive crowdsensing;Wang,2015

4. A mobile social networking service for urban community disaster response;Yu,2015

5. On truth discovery in social sensing: A maximum likelihood estimation approach;Wang,2012

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