Nov 10, 2022 · In this paper we present the results of our attempt to use the recent advancements in Reinforcement Learning to optimize the cost of running a compute- ...
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We also provide the details of training of the management policy using the proximal policy optimization algorithm. Finally, we discuss the feasibility to extend ...
The results of the attempt to use the recent advancements in Reinforcement Learning to optimize the cost of running a compute-intensive evolutionary process ...
Nov 10, 2022 · We also provide the details of training of the management policy using the proximal policy optimization algorithm. Finally, we discuss the ...
Automated cloud resources provisioning with the use of the proximal policy optimization. Authors. Funika, Włodzimierz; Koperek, Paweł; Kitowski, Jacek.
In this paper we present the results of our attempt to use the recent advancements in Reinforcement Learning to optimize the cost of running a compute-intensive ...
Automatic Management of Cloud Applications with Use of Proximal ...
pmc.ncbi.nlm.nih.gov › PMC7302229
We explained how to train a cloud resource management policy using the Proximal Policy Optimization algorithm with use of a simulated cloud environment.
Automated cloud resources provisioning with the use of the proximal policy optimization ; English · Springer 2023 · modern applications · scientific and commercial.
We describe the use of an autonomous agent that employs a policy trained with use of Proximal Policy Optimization algorithm. The agent is managing a cloud ...
In such cases, automatic resource scaling can provide significant cost savings by provisioning only the amount of resources which are necessary to support the ...
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