software . 2018

Framework for Deep Reinforcement Learning with GPU-CPU Multiprocessing

Sosin, Ivan; Svidchenko, Oleg; Malysheva, Aleksandra; Kudenko, Daniel; Shpilman, Aleksei;
Open Source
  • Published: 04 Dec 2018
  • Publisher: Zenodo
Abstract
<p>One of the main challenges faced in Deep Reinforcement Learning is that running simulations may be CPU-heavy, while the optimal computing device for training neural networks is a GPU. One way to overcome this problem is building a custom machine with GPU to CPU proportions that avoid bottlenecking one or the other. Another is to have the GPU machine work together with the CPU machine and/or launching one or both via cloud computing service. We have designed a framework for such a tandem interaction.</p> <p>Authors: Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman.</p>
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Zenodo
Software . 2018
Provider: Datacite
Zenodo
Software . 2018
Provider: Datacite
Zenodo
Software . 2018
Provider: Zenodo
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software . 2018

Framework for Deep Reinforcement Learning with GPU-CPU Multiprocessing

Sosin, Ivan; Svidchenko, Oleg; Malysheva, Aleksandra; Kudenko, Daniel; Shpilman, Aleksei;