Multi-Agent Reinforcement Learning with Shared Policy for Cloud Quota Management Problem

Author:

Cheng Tong1ORCID,Dong Hang1ORCID,Wang Lu1ORCID,Qiao Bo1ORCID,Qin Si1ORCID,Lin Qingwei1ORCID,Zhang Dongmei1ORCID,Rajmohan Saravan2ORCID,Moscibroda Thomas3ORCID

Affiliation:

1. Microsoft Research, China

2. Microsoft 365, USA

3. Microsoft Azure, USA

Publisher

ACM

Reference31 articles.

1. Enda Barrett, Enda Howley, and Jim Duggan. 2013. Applying reinforcement learning towards automating resource allocation and application scalability in the cloud. Concurrency and Computation: Practice and Experience 25 (2013).

2. A methodological framework for cloud resource provisioning and scheduling of data parallel applications under uncertainty

3. Efficiency fairness tradeoff in battery sharing

4. Proceedings of the Thirtieth International Joint Conference on Artificial Intelligence

5. Xavier Dutreilh, Sergey Kirgizov, Olga Melekhova, Jacques Malenfant, Nicolas Rivierre, and Isis Truck. 2011. Using Reinforcement Learning for Autonomic Resource Allocation in Clouds: towards a fully automated workflow. In 7th International Conference on Autonomic and Autonomous Systems (ICAS’2011). Venice, Italy, 67–74. https://hal-univ-paris8.archives-ouvertes.fr/hal-01122123

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