ResearchTrend.AI
  • Communities
  • Connect sessions
  • AI calendar
  • Organizations
  • Join Slack
  • Contact Sales
Papers
Communities
Social Events
Terms and Conditions
Pricing
Contact Sales
Parameter LabParameter LabTwitterGitHubLinkedInBlueskyYoutube

© 2026 ResearchTrend.AI, All rights reserved.

  1. Home
  2. Papers
  3. 2511.12120
  4. Cited By
Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy

Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy

International Conference on AI in Finance (ICAIF), 2020
15 November 2025
Hongyang Yang
Xiao-Yang Liu
Shan Zhong
A. Walid
    AIFin
ArXiv (abs)PDFHTMLGithub (4314★)

Papers citing "Deep Reinforcement Learning for Automated Stock Trading: An Ensemble Strategy"

11 / 61 papers shown
High-Dimensional Stock Portfolio Trading with Deep Reinforcement
  Learning
High-Dimensional Stock Portfolio Trading with Deep Reinforcement Learning
Uta Pigorsch
S. Schäfer
AIFin
163
14
0
09 Dec 2021
Expert Aggregation for Financial Forecasting
Expert Aggregation for Financial Forecasting
Carl Remlinger
M. Brière
C. Alasseur
Joseph Mikael
AI4TSAIFin
382
9
0
25 Nov 2021
FinRL: Deep Reinforcement Learning Framework to Automate Trading in
  Quantitative Finance
FinRL: Deep Reinforcement Learning Framework to Automate Trading in Quantitative Finance
Xiao-Yang Liu
Hongyang Yang
Jiechao Gao
Chris Wang
AIFinOffRL
238
125
0
07 Nov 2021
Reinforcement Learning for Quantitative Trading
Reinforcement Learning for Quantitative Trading
Shuo Sun
Rongpin Wang
Bo An
OffRLAIFin
214
70
0
28 Sep 2021
Factor Representation and Decision Making in Stock Markets Using Deep
  Reinforcement Learning
Factor Representation and Decision Making in Stock Markets Using Deep Reinforcement Learning
Zhaolu Dong
Shan Huang
Simiao Ma
Yining Qian
AIFin
142
1
0
03 Aug 2021
Deep Reinforcement Learning in Quantitative Algorithmic Trading: A
  Review
Deep Reinforcement Learning in Quantitative Algorithmic Trading: A Review
Tidor-Vlad Pricope
AIFin
176
46
0
31 May 2021
Generalising Discrete Action Spaces with Conditional Action Trees
Generalising Discrete Action Spaces with Conditional Action Trees
Christopher Bamford
Alvaro Ovalle
154
7
0
15 Apr 2021
Volume-Centred Range Bars: Novel Interpretable Representation of
  Financial Markets Designed for Machine Learning Applications
Volume-Centred Range Bars: Novel Interpretable Representation of Financial Markets Designed for Machine Learning Applications
A. Sokolovsky
Luca Arnaboldi
J. Bacardit
T. Gross
AIFinAI4TS
246
0
0
23 Mar 2021
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade
  Execution
TradeR: Practical Deep Hierarchical Reinforcement Learning for Trade Execution
Karush Suri
Xiaolong Shi
Konstantinos Plataniotis
Y. Lawryshyn
OffRL
104
4
0
16 Feb 2021
Deep Reinforcement Learning for Active High Frequency Trading
Deep Reinforcement Learning for Active High Frequency Trading
Antonio Briola
J. Turiel
Riccardo Marcaccioli
Alvaro Cauderan
T. Aste
AIFinAI4TS
235
48
0
18 Jan 2021
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading
  in Quantitative Finance
FinRL: A Deep Reinforcement Learning Library for Automated Stock Trading in Quantitative FinanceSocial Science Research Network (SSRN), 2020
Xiao-Yang Liu
Hongyang Yang
Qian Chen
Runjia Zhang
Liuqing Yang
Bowen Xiao
Chris Wang
AIFinOffRL
319
157
0
19 Nov 2020
Previous
12