Constrained Deep Reinforcement Learning for Smart Load Balancing
Author:
Affiliation:
1. Institut Mines-Telecom, Institut Polytechnique de Paris,Telecom SudParis, Samovar-Lab,France
2. Huawei Technologies Ltd,Paris Research Center,France
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/9700484/9700495/09700657.pdf?arnumber=9700657
Reference24 articles.
1. Soft actor-critic: Off-policy maximum entropy deep reinforcement learning with a stochastic actor;haarnoja;Proc ICML,2018
2. Learning to Communicate with Deep Multi-Agent Reinforcement Learning;foerster;Advances in neural information processing systems,2016
3. Counterfactual Multi-Agent Policy Gradients;foerster;Proceedings of the Thirty-Second AAAI Conference on Artificial Intelligence (AAAI-18),2018
4. Reinforcement learning based weighted multipath routing for datacenter networks
5. Multi-Agent Actor-Critic Reinforcement Learning based In-network Load Balance
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