Performance comparison of multiagent cooperative reinforcement learning algorithms for dynamic decision making in retail shop application
Author:
Publisher
Inderscience Publishers
Subject
General Medicine
Cited by 3 articles. 订阅此论文施引文献 订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献
1. Cooperative Multi-Agent Nash Q-Learning (CMNQL) for Decision Building in Retail Shop;Information and Communication Technology for Competitive Strategies (ICTCS 2021);2022-06-10
2. A Framework for Smart Traffic Controller by Improved Cooperative Multi-agent Learning Algorithms (ICMALA);Artificial Intelligence and Sustainable Computing;2022
3. Depression Scale Recognition over Fusion of Visual and Vocal Expression using Artificial Intellectual Method;International Journal of Recent Technology and Engineering (IJRTE);2021-09-30
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