A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise

Weimin Zhou, Miguel P. Eckstein. A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise. In Claudia R. Mello-Thoms, Sian Taylor-Phillips, editors, Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022. Volume 12035 of SPIE Proceedings, SPIE, 2022. [doi]

@inproceedings{ZhouE22-1,
  title = {A deep Q-learning method for optimizing visual search strategies in backgrounds of dynamic noise},
  author = {Weimin Zhou and Miguel P. Eckstein},
  year = {2022},
  doi = {10.1117/12.2613133},
  url = {https://doi.org/10.1117/12.2613133},
  researchr = {https://researchr.org/publication/ZhouE22-1},
  cites = {0},
  citedby = {0},
  booktitle = {Medical Imaging 2022: Image Perception, Observer Performance, and Technology Assessment, San Diego, CA, USA, February 20-24, 2022 / Online, March 21-27, 2022},
  editor = {Claudia R. Mello-Thoms and Sian Taylor-Phillips},
  volume = {12035},
  series = {SPIE Proceedings},
  publisher = {SPIE},
  isbn = {9781510649460},
}