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  • title: A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
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            A Mean-Field Game Approach to Cloud Resource Management with Function Approximation
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            A Mean-Field Game Approach to Cloud Resource Management with Function Approximation

            Nov 28, 2022

            Speakers

            WM

            Weichao Mao

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            HQ

            Haoran Qiu

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            CW

            Chen Wang

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            About

            Reinforcement learning (RL) has gained increasing popularity for resource management in cloud services such as serverless computing. As self-interested users compete for shared resources in a cluster, the multi-tenancy nature of serverless platforms necessitates multi-agent reinforcement learning (MARL) solutions, which often suffer from severe scalability issues. In this paper, we propose a mean-field game (MFG) approach to cloud resource management that is scalable to a large number of users a…

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            NeurIPS 2022

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