Matches in Wikidata for { <http://www.wikidata.org/entity/Q89978594> ?p ?o ?g. }
Showing items 1 to 54 of
54
with 100 items per page.
- Q89978594 description "artículu científicu espublizáu en marzu de 2020" @default.
- Q89978594 description "scientific article published on 02 March 2020" @default.
- Q89978594 description "wetenschappelijk artikel" @default.
- Q89978594 description "наукова стаття, опублікована 2 березня 2020" @default.
- Q89978594 name "Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices" @default.
- Q89978594 name "Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices" @default.
- Q89978594 type Item @default.
- Q89978594 label "Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices" @default.
- Q89978594 label "Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices" @default.
- Q89978594 prefLabel "Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices" @default.
- Q89978594 prefLabel "Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices" @default.
- Q89978594 P1433 Q89978594-D9012143-3A3A-4670-B01C-2F9F5E6AA2BC @default.
- Q89978594 P1476 Q89978594-F76ACD08-B834-45BD-A9D0-B60911B7CA3E @default.
- Q89978594 P2093 Q89978594-0A9807B0-802B-4448-90EF-691732AE82C8 @default.
- Q89978594 P2093 Q89978594-C2BE50B4-01D8-45DB-A6ED-1BD27AD6C682 @default.
- Q89978594 P2093 Q89978594-D318A238-237F-4A91-9C66-99342FE6F059 @default.
- Q89978594 P275 Q89978594-b7504549-d9f2-49b3-8317-ee8bd28a442b @default.
- Q89978594 P2860 Q89978594-75DE525B-FF7A-4345-B4BB-0545FB486988 @default.
- Q89978594 P2860 Q89978594-8236BC79-7375-4C61-84B9-1315606B0350 @default.
- Q89978594 P31 Q89978594-7CEA0D54-AC24-4AC5-9F24-DFF076D83BF9 @default.
- Q89978594 P356 Q89978594-C7934A0E-9F90-4882-A002-CEA2D2C2478C @default.
- Q89978594 P433 Q89978594-DB3F2132-F0F4-4696-9693-F6B70029CB3F @default.
- Q89978594 P478 Q89978594-7C0301C5-0A6D-40F1-9654-4B5521D5AFCF @default.
- Q89978594 P50 Q89978594-BC053D89-2AA6-48E7-9943-96D5839813A2 @default.
- Q89978594 P577 Q89978594-F077F767-528B-4AEE-B0CB-9166EB936A58 @default.
- Q89978594 P6216 Q89978594-d51a7e26-1eb4-4285-be13-c19769330fb3 @default.
- Q89978594 P698 Q89978594-B720F189-77D4-4CA4-A7C5-A3D3FA7A5AC0 @default.
- Q89978594 P8978 Q89978594-DDD7A530-42E4-4263-813C-A54511E3929B @default.
- Q89978594 P921 Q89978594-57A6B720-5AA6-4E2F-B23D-79CDAE936236 @default.
- Q89978594 P921 Q89978594-B024D2F6-AF2E-4252-84E4-4CD426195280 @default.
- Q89978594 P932 Q89978594-4B8BE27E-0670-4229-9D3A-C365ACA71758 @default.
- Q89978594 P356 S20051359 @default.
- Q89978594 P698 32121671 @default.
- Q89978594 P8978 LimKHH20 @default.
- Q89978594 P1433 Q3478643 @default.
- Q89978594 P1476 "Federated Reinforcement Learning for Training Control Policies on Multiple IoT Devices" @default.
- Q89978594 P2093 "Hyun-Kyo Lim" @default.
- Q89978594 P2093 "Joo-Seong Heo" @default.
- Q89978594 P2093 "Ju-Bong Kim" @default.
- Q89978594 P275 Q20007257 @default.
- Q89978594 P2860 Q27907579 @default.
- Q89978594 P2860 Q28005460 @default.
- Q89978594 P31 Q13442814 @default.
- Q89978594 P356 "10.3390/S20051359" @default.
- Q89978594 P433 "5" @default.
- Q89978594 P478 "20" @default.
- Q89978594 P50 Q87631494 @default.
- Q89978594 P577 "2020-03-02T00:00:00Z" @default.
- Q89978594 P6216 Q50423863 @default.
- Q89978594 P698 "32121671" @default.
- Q89978594 P8978 "journals/sensors/LimKHH20" @default.
- Q89978594 P921 Q251212 @default.
- Q89978594 P921 Q830687 @default.
- Q89978594 P932 "7085801" @default.