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JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large
  scale reinforcement learning for trading

JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading

25 August 2023
Sascha Frey
Kang Li
Peer Nagy
Silvia Sapora
Chris Xiaoxuan Lu
S. Zohren
Jakob N. Foerster
Anisoara Calinescu
ArXivPDFHTML

Papers citing "JAX-LOB: A GPU-Accelerated limit order book simulator to unlock large scale reinforcement learning for trading"

4 / 4 papers shown
Title
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
LOB-Bench: Benchmarking Generative AI for Finance - an Application to Limit Order Book Data
Peer Nagy
Sascha Frey
Kang Li
Bidipta Sarkar
Svitlana Vyetrenko
Stefan Zohren
Ani Calinescu
Jakob Foerster
78
1
0
13 Feb 2025
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024
Revisiting Ensemble Methods for Stock Trading and Crypto Trading Tasks at ACM ICAIF FinRL Contest 2023-2024
Nikolaus Holzer
Keyi Wang
Kairong Xiao
Xiao-Yang Liu Yanglet
AIFin
27
1
0
18 Jan 2025
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX
Alexander Nikulin
Vladislav Kurenkov
Ilya Zisman
Artem Agarkov
Viacheslav Sinii
Sergey Kolesnikov
21
23
0
19 Dec 2023
Model-based gym environments for limit order book trading
Model-based gym environments for limit order book trading
Joseph Jerome
Leandro Sánchez-Betancourt
Rahul Savani
Martin Herdegen
20
3
0
16 Sep 2022
1