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1 Ergebnisse
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HMRL : Hyper-Meta Learning for Sparse Reward Reinforceme..:
, In:
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
,
Hua, Yun
;
Wang, Xiangfeng
;
Jin, Bo
... - p. 637-645 , 2021
Link:
https://dl.acm.org/doi/10.1145/3447548.3467242
RT T1
Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining
: T1
HMRL : Hyper-Meta Learning for Sparse Reward Reinforcement Learning Problem
UL https://suche.suub.uni-bremen.de/peid=acm-3467242&Exemplar=1&LAN=DE A1 Hua, Yun A1 Wang, Xiangfeng A1 Jin, Bo A1 Li, Wenhao A1 Yan, Junchi A1 He, Xiaofeng A1 Zha, Hongyuan PB ACM YR 2021 K1 meta learning K1 reinforcement learning K1 sparse reward K1 Computing methodologies K1 Machine learning K1 Learning paradigms K1 Reinforcement learning SP 637 OP 645 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3447548.3467242 DO https://dl.acm.org/doi/10.1145/3447548.3467242 SF ELIB - SuUB Bremen
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