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On-chip trainable hardware-based deep Q-networks approximat..:
Kim, Jangsaeng
;
Kwon, Dongseok
;
Woo, Sung Yun
...
Neural Computing and Applications. 33 (2021) 15 - p. 9391-9402 , 2021
Link:
https://doi.org/10.1007/s00521-021-05699-z
RT Journal T1
On-chip trainable hardware-based deep Q-networks approximating a backpropagation algorithm
UL https://suche.suub.uni-bremen.de/peid=cr-10.1007_s00521-021-05699-z&Exemplar=1&LAN=DE A1 Kim, Jangsaeng A1 Kwon, Dongseok A1 Woo, Sung Yun A1 Kang, Won-Mook A1 Lee, Soochang A1 Oh, Seongbin A1 Kim, Chul-Heung A1 Bae, Jong-Ho A1 Park, Byung-Gook A1 Lee, Jong-Ho PB Springer Science and Business Media LLC YR 2021 SN 0941-0643 SN 1433-3058 JF Neural Computing and Applications VO 33 IS 15 SP 9391 OP 9402 LK http://dx.doi.org/https://doi.org/10.1007/s00521-021-05699-z DO https://doi.org/10.1007/s00521-021-05699-z SF ELIB - SuUB Bremen
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