Integrating Reinforcement Learning with Multi-Agent Techniques for Adaptive Service Composition
Author:
Affiliation:
1. Southeast University, NanJing, China
2. Rochester Institute of Technology, USA
3. The Chinese University of Hong Kong, Hong Kong, China
4. The University of Sydney, NSW, Australia
Abstract
Funder
Collaborative Innovation Centers of Novel Software Technology and Industrialization and Wireless Communications Technology
NSFC Projects
Australian Research Council's Discovery Project
Australian Research Council's Linkage Projects funding scheme
Publisher
Association for Computing Machinery (ACM)
Subject
Software,Computer Science (miscellaneous),Control and Systems Engineering
Link
https://dl.acm.org/doi/pdf/10.1145/3058592
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