An AGV Task Scheduling Method Based on Multi-Agent Reinforcement Learning

Author:

Zhao Yuxin1,Zhu Ke2,Song Xueming1,Zhang Jianming1

Affiliation:

1. College of Control Science and Technology, Zhejiang University,Hangzhou,China,310000

2. Zhejiang University Robotics Institute,Yuyao,China,314500

Publisher

IEEE

Reference11 articles.

1. Batch normalization: Accelerating deep network training by reducing internal covariate shift[C];ioffe;Int Conference on Machine Learning,0

2. Identity mappings in deep residual networks[C];he;European Conference on Computer Vision ECCV 2016,2016

3. Simple Statistical Gradient-Following Algorithms for Connectionist Reinforcement Learning

4. Deep Reinforcement Learning: A Brief Survey

5. An integrated scheduling method for AGV routing in automated container terminals

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