Berk Ustun, Alexander Spanghler, and Yang Liu. 2019. “
Actionable Recourse in Linear Classification.” In ACM Conference on Fairness, Accountability, and Transparency (FAT '19).
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Finding Friend and Foe in Multi-Agent Games.” In Proceedings of the 32nd Annual Conf. on Neural Information Processing Systems 2019, (NeurIPS 2019), Pp. 1249-1259.
Download Thanh H. Nguyen and Haifeng Xu. 2019. “
Imitative Attacker Deception in Stackelberg Security Games.” In Proceedings of the 28th International Joint Conference on Artificial Intelligence (IJCAI 2019).
Download Jiarui Gan, Haifeng Xu, Qingyu Guo, Long Tran-Thanh, Zinovi Rabinovich, and Michael Wooldridge. 2019. “
Imitative Follower Deception in Stackelberg Games.” In Proceedings of the 20th ACM Conference on Economics and Computation (EC'19).
Download Iyad Rahwan, Manuel Cebrian, Nick Obradovich, Josh Bongard, Jean-François Bonnefon, Cynthia Breazeal, Jacob W. Crandall, Nicholas A. Christakis, Iain D. Couzin, Matthew O. Jackson, Nicholas R. Jennings, Ece Kamar, Isabel M. Kloumann, Hugo Larochelle, David Lazer, Richard McElreath, Alan Mislove, David C. Parkes, Alex ‘Sandy’ Pentland, Margaret E. Roberts, Azim Shariff, Joshua B. Tenenbaum, and Michael Wellman. 2019. “
Machine behaviour.” Nature, 568, Pp. 477-486.
Download Yiling Chen, Yang Liu, and Juntao Wang. 2019. “
Randomized Wagering Mechanisms.” In Thirty-Third AAAI Conference on Artificial Intelligence (AAAI-19) .
Download Sarah Keren, Gopal K. Vashishtha, and David C. Parkes. 2019. “
Reinforcement Learning Design.” In ICAPS 2019 Workshop on Reasoning about Actions and Processes: Highlights of Recent Advances (RAC-ICAPS 2019).