Dynamic stock-decision ensemble strategy based on deep reinforcement learning.

Yu X, Wu W, Liao X, Han Y

DOI: 10.1007/s10489-022-03606-0
Published: 2023
Container: Applied intelligence (Dordrecht, Netherlands)
Publisher: Not recorded
Open access: yes

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Cite this work

BibTeX

@article{allodium:10.1007/s10489-022-03606-0,
  title = {Dynamic stock-decision ensemble strategy based on deep reinforcement learning.},
  author = {Yu X and Wu W and Liao X and Han Y},
  year = {2023},
  journal = {Applied intelligence (Dordrecht, Netherlands)},
  doi = {10.1007/s10489-022-03606-0},
  url = {https://doi.org/10.1007/s10489-022-03606-0}
}

RIS

TY  - JOUR
TI  - Dynamic stock-decision ensemble strategy based on deep reinforcement learning.
AU  - Yu X
AU  - Wu W
AU  - Liao X
AU  - Han Y
PY  - 2023
JO  - Applied intelligence (Dordrecht, Netherlands)
DO  - 10.1007/s10489-022-03606-0
UR  - https://doi.org/10.1007/s10489-022-03606-0
ER  -

APA

X, Y., W, W., X, L., & Y, H. (2023). Dynamic stock-decision ensemble strategy based on deep reinforcement learning.. Applied intelligence (Dordrecht, Netherlands). https://doi.org/10.1007/s10489-022-03606-0

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pubmed · retrieved 2026-09-27T15:07:57.322Z