Software Open Access
Ivan Sosin; Oleg Svidchenko; Aleksandra Malysheva; Daniel Kudenko; Aleksei Shpilman
{ "publisher": "Zenodo", "DOI": "10.5281/zenodo.1938263", "title": "Framework for Deep Reinforcement Learning with GPU-CPU Multiprocessing", "issued": { "date-parts": [ [ 2018, 12, 4 ] ] }, "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>\n\n<p>Authors: Ivan Sosin, Oleg Svidchenko, Aleksandra Malysheva, Daniel Kudenko, Aleksei Shpilman.</p>", "author": [ { "family": "Ivan Sosin" }, { "family": "Oleg Svidchenko" }, { "family": "Aleksandra Malysheva" }, { "family": "Daniel Kudenko" }, { "family": "Aleksei Shpilman" } ], "version": "v1.0", "type": "article", "id": "1938263" }
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