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1 Ergebnisse
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JAX-LOB: A GPU-Accelerated limit order book simulator to un..:
, In:
Proceedings of the Fourth ACM International Conference on AI in Finance
,
Frey, Sascha Yves
;
Li, Kang
;
Nagy, Peer
... - p. 583-591 , 2023
Link:
https://dl.acm.org/doi/10.1145/3604237.3626880
RT T1 <cTitle>Proceedings of the Fourth ACM International Conference on AI in Finance</cTitle>: T1 <Title>JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading</Title> UL https://suche.suub.uni-bremen.de/peid=acm-3626880&Exemplar=1&LAN=DE A1 Frey, Sascha Yves A1 Li, Kang A1 Nagy, Peer A1 Sapora, Silvia A1 Lu, Christopher A1 Zohren, Stefan A1 Foerster, Jakob A1 Calinescu, Anisoara PB ACM YR 2023 K1 high frequency trading K1 limit order books K1 market replay K1 order book simulator K1 reinforcement learning K1 trade execution K1 Computing methodologies K1 Modeling and simulation K1 Simulation types and techniques K1 Discrete-event simulation K1 Machine learning K1 Learning paradigms K1 Reinforcement learning K1 Massively parallel and high-performance simulations SP 583 OP 591 LK http://dx.doi.org/https://dl.acm.org/doi/10.1145/3604237.3626880 DO https://dl.acm.org/doi/10.1145/3604237.3626880 SF ELIB - SuUB Bremen
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