Multi-agent crowdsourcing model based on Q-learning

被引：0
|
作者：
Fang, Xin [1 ]
Guo, Yongan [1 ]
机构：
[1] Nanjing Univ Posts & Telecommun, Jiangsu Key Lab Wireless Commun, Nanjing 210003, Peoples R China
来源：
2019 IEEE INTERNATIONAL CONFERENCE ON CONSUMER ELECTRONICS - TAIWAN (ICCE-TW) | 2019年
基金：
国家重点研发计划;
关键词：
D O I：
10.1109/icce-tw46550.2019.8991830
中图分类号：
TM [电工技术]; TN [电子技术、通信技术];
学科分类号：
0808 ; 0809 ;
摘要：
The multi-agent crowdsourcing system is a very popular field in recent years, and Q-learning is an algorithm that is the most practical in reinforcement learning. Based on the single agent reinforcement learning Q-learning algorithm, a new learning collaboration algorithm is proposed. Based on this algorithm, a new multi-agent crowdsourcing system structure model is proposed. The most important feature of this structure is the knowledge sharing.
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页数：2
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