Application of Newton's Method to action selection in continuous state- and action-space reinforcement learning

Barry D. Nichols, Dimitris C. Dracopoulos. Application of Newton's Method to action selection in continuous state- and action-space reinforcement learning. In 22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014. 2014. [doi]

@inproceedings{NicholsD14,
  title = {Application of Newton's Method to action selection in continuous state- and action-space reinforcement learning},
  author = {Barry D. Nichols and Dimitris C. Dracopoulos},
  year = {2014},
  url = {http://www.elen.ucl.ac.be/Proceedings/esann/esannpdf/es2014-175.pdf},
  researchr = {https://researchr.org/publication/NicholsD14},
  cites = {0},
  citedby = {0},
  booktitle = {22th European Symposium on Artificial Neural Networks, ESANN 2014, Bruges, Belgium, April 23-25, 2014},
}