Constrained Deep Reinforcement Learning for Smart Load Balancing

Author:

Houidi Omar1,Zeghlache Djamal1,Perrier Victor2,Anh Quang Pham Tran2,Huin Nicolas2,Leguay Jeremie2,Medagliani Paolo2

Affiliation:

1. Institut Mines-Telecom, Institut Polytechnique de Paris,Telecom SudParis, Samovar-Lab,France

2. Huawei Technologies Ltd,Paris Research Center,France

Publisher

IEEE

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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