Software Open Access
Ivan Sosin; Oleg Svidchenko; Aleksandra Malysheva; Daniel Kudenko; Aleksei Shpilman
{ "files": [ { "links": { "self": "https://zenodo.org/api/files/197c74f2-a668-43a7-8f46-2635582f63d1/iasawseen/MultiServerRL-v1.0.zip" }, "checksum": "md5:569c93638c7a3485b8c74839b7f16af0", "bucket": "197c74f2-a668-43a7-8f46-2635582f63d1", "key": "iasawseen/MultiServerRL-v1.0.zip", "type": "zip", "size": 20187 } ], "owners": [ 56783 ], "doi": "10.5281/zenodo.1938263", "stats": { "version_unique_downloads": 12.0, "unique_views": 190.0, "views": 210.0, "downloads": 12.0, "unique_downloads": 12.0, "version_unique_views": 189.0, "volume": 242244.0, "version_downloads": 12.0, "version_views": 209.0, "version_volume": 242244.0 }, "links": { "doi": "https://doi.org/10.5281/zenodo.1938263", "conceptdoi": "https://doi.org/10.5281/zenodo.1938262", "bucket": "https://zenodo.org/api/files/197c74f2-a668-43a7-8f46-2635582f63d1", "conceptbadge": "https://zenodo.org/badge/doi/10.5281/zenodo.1938262.svg", "html": "https://zenodo.org/record/1938263", "latest_html": "https://zenodo.org/record/1938263", "badge": "https://zenodo.org/badge/doi/10.5281/zenodo.1938263.svg", "latest": "https://zenodo.org/api/records/1938263" }, "conceptdoi": "10.5281/zenodo.1938262", "created": "2018-12-04T19:12:42.840891+00:00", "updated": "2019-11-01T07:15:18.799607+00:00", "conceptrecid": "1938262", "revision": 6, "id": 1938263, "metadata": { "access_right_category": "success", "doi": "10.5281/zenodo.1938263", "description": "<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>", "license": { "id": "other-open" }, "title": "Framework for Deep Reinforcement Learning with GPU-CPU Multiprocessing", "relations": { "version": [ { "count": 1, "index": 0, "parent": { "pid_type": "recid", "pid_value": "1938262" }, "is_last": true, "last_child": { "pid_type": "recid", "pid_value": "1938263" } } ] }, "version": "v1.0", "publication_date": "2018-12-04", "creators": [ { "affiliation": "JetBrains Research", "name": "Ivan Sosin" }, { "affiliation": "JetBrains Research", "name": "Oleg Svidchenko" }, { "affiliation": "JetBrains Research", "name": "Aleksandra Malysheva" }, { "affiliation": "JetBrains Research", "name": "Daniel Kudenko" }, { "affiliation": "JetBrains Research", "name": "Aleksei Shpilman" } ], "access_right": "open", "resource_type": { "type": "software", "title": "Software" }, "related_identifiers": [ { "scheme": "url", "identifier": "https://github.com/iasawseen/MultiServerRL/tree/v1.0", "relation": "isSupplementTo" }, { "scheme": "doi", "identifier": "10.5281/zenodo.1938262", "relation": "isVersionOf" } ] } }
All versions | This version | |
---|---|---|
Views | 209 | 210 |
Downloads | 12 | 12 |
Data volume | 242.2 kB | 242.2 kB |
Unique views | 189 | 190 |
Unique downloads | 12 | 12 |