Understanding Human-AI Cooperation Through Game-Theory and Reinforcement Learning Models

Beau G. Schelble, Christopher Flathmann, Lorenzo Barberis Canonico, Nathan J. McNeese. Understanding Human-AI Cooperation Through Game-Theory and Reinforcement Learning Models. In 54th Hawaii International Conference on System Sciences, HICSS 2021, Kauai, Hawaii, USA, January 5, 2021. pages 1-10, ScholarSpace, 2021. [doi]

@inproceedings{SchelbleFCM21,
  title = {Understanding Human-AI Cooperation Through Game-Theory and Reinforcement Learning Models},
  author = {Beau G. Schelble and Christopher Flathmann and Lorenzo Barberis Canonico and Nathan J. McNeese},
  year = {2021},
  url = {http://hdl.handle.net/10125/70652},
  researchr = {https://researchr.org/publication/SchelbleFCM21},
  cites = {0},
  citedby = {0},
  pages = {1-10},
  booktitle = {54th Hawaii International Conference on System Sciences, HICSS 2021, Kauai, Hawaii, USA, January 5, 2021},
  publisher = {ScholarSpace},
}