Multi-agent crowdsourcing model based on Q-learning.

Xin Fang,Yongan Guo

ICCE-TW(2019)

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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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关键词
reinforcement learning,single agent reinforcement,Q-learning algorithm,learning collaboration algorithm,multiagent crowdsourcing system structure model,knowledge sharing
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