A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning. Carta, S., Corriga, A., Ferreira, A., Podda, A. S., & Recupero, D. R. Appl. Intell., 51(2):889–905, 2021.
A multi-layer and multi-ensemble stock trader using deep learning and deep reinforcement learning [link]Paper  doi  bibtex   
@article{DBLP:journals/apin/CartaCFPR21,
  author    = {Salvatore Carta and
               Andrea Corriga and
               Anselmo Ferreira and
               Alessandro Sebastian Podda and
               Diego Reforgiato Recupero},
  title     = {A multi-layer and multi-ensemble stock trader using deep learning
               and deep reinforcement learning},
  journal   = {Appl. Intell.},
  volume    = {51},
  number    = {2},
  pages     = {889--905},
  year      = {2021},
  url       = {https://doi.org/10.1007/s10489-020-01839-5},
  doi       = {10.1007/s10489-020-01839-5},
  timestamp = {Thu, 21 Jan 2021 00:00:00 +0100},
  biburl    = {https://dblp.org/rec/journals/apin/CartaCFPR21.bib},
  bibsource = {dblp computer science bibliography, https://dblp.org}
}

Downloads: 0