Open AccessRegret-Based Optimization and Preference Elicitation for Stackelberg Security Games with Uncertainty
Author(s) -
Thanh H. Nguyen,
Amulya Yadav,
Bo An,
Milind Tambe,
Craig Boutilier
Publication year - 2014
Publication title -
proceedings of the aaai conference on artificial intelligence
Language(s) - English
Resource type - Journals
eISSN - 2374-3468
pISSN - 2159-5399
DOI - 10.1609/aaai.v28i1.8804
Subject(s) - regret , stackelberg competition , preference , stochastic game , minimax , interval (graph theory) , mathematical economics , mathematical optimization , key (lock) , preference elicitation , mathematics , computer science , expected utility hypothesis , machine learning , statistics , computer security , combinatorics
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