Deep Reinforcement Learning-based RMSA of EONs with Elastic Weight Consolidation
Author:
Affiliation:
1. South China Normal University,School of Electronics and Information Engineering,Foshan,China
2. South China Normal University,School of Physics and Telecommunication Engineering,Guangzhou,China
Funder
National Natural Science Foundation of China
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10088439/10088450/10088972.pdf?arnumber=10088972
Reference14 articles.
1. Dynamic Service Provisioning of Advance Reservation Requests in Elastic Optical Networks
2. Reinforcement Learning: An Introduction;sutton;IEEE Transactions on Neural Networks,1998
3. Asynchronous methods for deep reinforcement learning;mnih;International Conference on Machine Learning (ICML),2016
4. Overcoming catastrophic forgetting in neural networks;kirkpatrick;Proceedings of the National Academy of Sciences,2017
5. Catastrophic Interference in Connectionist Networks: The Sequential Learning Problem
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