Learning adversary behavior in security games: A PAC model perspective
Recent applications of Stackelberg Security Games (SSG), from wildlife crime to urban crime, have employed machine learning tools to learn and predict adversary behavior using available data about defender-adversary interactions. Given these recent developments, this paper commits to an approach of...
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| Main Authors: | , , |
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| Format: | text |
| Language: | English |
| Published: |
Institutional Knowledge at Singapore Management University
2016
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| Subjects: | |
| Online Access: | https://ink.library.smu.edu.sg/sis_research/4661 https://ink.library.smu.edu.sg/context/sis_research/article/5664/viewcontent/AAMAS2016PAC_1_.pdf |
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| Institution: | Singapore Management University |
| Language: | English |