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Algorithmic trading by reinforcement learning in a collaborative manner

delete2026-04-02
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PRE
AI
L
Long Li
张春霞 cover
张春霞 (Chunxia Zhang) *
C
Cong Ma
H
Hongtao Wang
L
Lizhen Ji
F
Fei Gao
J
Jiangshe Zhang
K
Kaiwen Qiu
DOI:10.1016/j.asoc.2026.115168delete
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Abstract

Abstract

En 中文
• We propose an algorithmic trading method by combining RL with distributed learning. • A novel loss function integrating RL and imitation learning is proposed. • The proposed method outperforms several baselines on U.S. stock data. • The novel framework is flexible with various network architectures and RL agents.
Keywords:
Reinforcement Learning
Algorithmic Trading
Distributed Learning
Imitation Learning
Collaborative Framework

Journal

Applied Soft Computing cover
Applied Soft Computing
IF:
6.6
Papers:
1.4W
Citations:
4.8W

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R
rutgers university
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N
northwest university
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Papers: 939
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X
Xian Jiaotong University
Scholars:
1.4K
Papers: 468
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X
Xian University of Finance and Economics
Scholars:
23
Papers: 21
Citations: 0
C
Chinese Academy of Sciences
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3.9W
Papers: 1.5W
Citations: 58.4W
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