igeng/awesome-drl-cloud-scheduling
A curated list of research papers, code, and tools applying deep reinforcement learning (DRL) to cloud/microservice resource scheduling and autoscaling.
This resource helps cloud operations teams and site reliability engineers manage and optimize their cloud infrastructure. It compiles research papers, open-source projects, and tools that apply deep reinforcement learning to automate resource allocation and scaling decisions. You can find strategies to improve how computing resources are assigned to tasks and how microservices automatically adjust their capacity to handle varying demand.
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Use this if you are a cloud architect, infrastructure engineer, or researcher looking for advanced, AI-driven solutions to optimize cloud resource scheduling and microservice autoscaling to reduce costs and improve performance.
Not ideal if you are looking for an off-the-shelf software solution for basic cloud resource management without needing to delve into research or advanced AI techniques.
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Sep 07, 2025
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