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HICSSConference Paper2021🏆 Nominated for Best Overall Paper Award

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

Beau G. Schelble, Christopher Flathmann, Lorenzo Barberis Canonico, Nathan J. McNeese

Proceedings of the 54th Hawaii International Conference on System Sciences, pp. 348-358 (2021)

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BibTeX

@inproceedings{schelble2021understanding,
  title = {Understanding Human-AI Cooperation Through Game Theory and Reinforcement Learning Models},
  author = {Schelble, Beau G. and Flathmann, Christopher and Canonico, Lorenzo Barberis and McNeese, Nathan J.},
  year = {2021},
  booktitle = {Proceedings of the 54th Hawaii International Conference on System Sciences},
  note = {pp. 348-358}
}

Topics

reinforcement learningmethodshuman-AI teaming