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《Computer Engineering》 2001-08
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Application of Reinforcement Learning-based Multi-agents in Distance Learning

XU Yanqing, SHEN Ruimin, ZHANG Tongzhen, SHEN Liping (Computer Science and Technology Department, Shanghai Jiaotong University, Shanghai 200030)  
Web-based distance-learning environment can be simultaneously visited by multiple users and generally be comprised of several independent teaching components, so it can be described by multi-agents technology. In this paper, we first study the reinforcement learning-based multi-agents and then present a distance-learning model based on multi-agents. Through this model we can implement adaptive and intelligent distance learning.
【CateGory Index】: TP399
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