2022
DOI: 10.1007/978-3-031-14599-5_7
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Applying Game-Learning Environments to Power Capping Scenarios via Reinforcement Learning

Abstract: Research in deep learning for video game playing has received much attention and provided very relevant results in the last years. Frameworks and libraries have been developed to ease game playing research leveraging Reinforcement Learning techniques. In this paper, we propose to use two of them (RLlib and Gym) in a very different scenario, such as learning to apply resource management policies in a multi-core server, specifically, we leverage the facilities of both frameworks coupled to derive policies for po… Show more

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References 24 publications
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