Reinforcement Learning for Admission Control in Wireless Virtual Network Embedding
Author:
Affiliation:
1. Hasso Platter Institute & Potsdam University,Potsdam,Germany
2. Paderborn University,Paderborn,Germany
Funder
Deutsche Forschungsgemeinschaft (DFG, German Research Foundation)
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9936895/9936900/09936947.pdf?arnumber=9936947
Reference21 articles.
1. Integrated Networking, Caching, and Computing for Connected Vehicles: A Deep Reinforcement Learning Approach
2. Optimizing admission control while ensuring quality of service in multimedia networks via reinforcement learning;brown;Proceedings of the 11 th International Conference on Neural Information Processing Systems NIPS'98,1998
3. Reinforcement Learning-based Admission Control in Delay-sensitive Service Systems
4. Applications of Deep Reinforcement Learning in Communications and Networking: A Survey
5. Delay-Optimal Traffic Engineering through Multi-agent Reinforcement Learning
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