Chao Zhang
Chao Zhang
PhD student of Computer Science, University of Southern California
E-mail confirmado em usc.edu - Página inicial
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Game-theoretic randomization for security patrolling with dynamic execution uncertainty
AX Jiang, Z Yin, C Zhang, M Tambe, S Kraus
Proceedings of the 2013 international conference on Autonomous agents and …, 2013
862013
Keeping pace with criminals: An extended study of designing patrol allocation against adaptive opportunistic criminals
C Zhang, S Gholami, D Kar, A Sinha, M Jain, R Goyal, M Tambe
Games 7 (3), 15, 2016
702016
Game-theoretic patrolling with dynamic execution uncertainty and a case study on a real transit system
FM Delle Fave, AX Jiang, Z Yin, C Zhang, M Tambe, S Kraus, JP Sullivan
Journal of Artificial Intelligence Research 50, 321-367, 2014
602014
Optimal allocation of police patrol resources using a continuous-time crime model
A Mukhopadhyay, C Zhang, Y Vorobeychik, M Tambe, K Pence, P Speer
International Conference on Decision and Game Theory for Security, 139-158, 2016
372016
Human adversaries in opportunistic crime security games: Evaluating competing bounded rationality models
YD Abbasi, M Short, A Sinha, N Sintov, C Zhang, M Tambe
Proceedings of the third annual conference on advances in cognitive systems …, 2015
322015
Defending against opportunistic criminals: New game-theoretic frameworks and algorithms
C Zhang, AX Jiang, MB Short, PJ Brantingham, M Tambe
International Conference on Decision and Game Theory for Security, 3-22, 2014
312014
Restless poachers: Handling exploration-exploitation tradeoffs in security domains
Y Qian, C Zhang, B Krishnamachari, M Tambe
Proceedings of the 2016 International Conference on Autonomous Agents …, 2016
302016
Methods of treating animals with botulinum toxin pharmaceutical compositions
T Hunt
US Patent App. 10/047,058, 2002
262002
Using abstractions to solve opportunistic crime security games at scale
C Zhang, V Bucarey, A Mukhopadhyay, A Sinha, Q Yundi, Y Vorobeychik, ...
222016
Optimized artificial intelligence machines that allocate patrol agents to minimize opportunistic crime based on learned model
A Sinha, M Tambe, C Zhang
US Patent App. 15/144,184, 2016
82016
Learning, predicting and planning against crime: Demonstration based on real urban crime data
C Zhang, M Jain, R Goyal, A Sinha, M Tambe
AAMAS, 1911-1912, 2015
82015
Security games in the field: Deployments on a transit system
FM Delle Fave, M Brown, C Zhang, E Shieh, AX Jiang, H Rosoff, M Tambe, ...
International workshop on engineering multi-agent systems, 103-126, 2014
72014
Modeling Crime diffusion and crime suppression on transportation networks: An initial report
C Zhang, AX Jiang, M Short, PJ Brantingham, M Tambe
2013 AAAI Fall Symposium Series, 2013
72013
Game theory model for patrolling an area that accounts for dynamic uncertainty
AX Jiang, Z Yin, C Zhang, M Tambe, S Kraus
US Patent App. 14/216,449, 2014
62014
Security games in the field: an initial study on a transit system.
FM Delle Fave, M Brown, C Zhang, EA Shieh, AX Jiang, H Rosoff, ...
AAMAS, 1363-1364, 2014
62014
Towards a game theoretic approach for defending against crime diffusion
C Zhang, AX Jiang, M Short, PJ Brantingham, M Tambe
Proceedings of the 2014 International Conference on Autonomous Agents and …, 2014
42014
Security games in the field: an initial study on a transit system
FMD Fave, M Brown, C Zhang, E Shieh, AX Jiang, H Rosoff, M Tambe, ...
International Conference on Autonomous Agents and Multiagent Systems (AAMAS …, 2014
42014
A detailed analysis of a multi-agent diverse team
LS Marcolino, C Zhang, AX Jiang, M Tambe
International Workshop on Coordination, Organizations, Institutions, and …, 2013
42013
Modeling, Learning and Defending against Opportunistic Criminals in Urban Areas:(Doctoral Consortium).
C Zhang, M Tambe
AAMAS, 1971-1972, 2015
32015
An extensive study of Dynamic Bayesian Network for patrol allocation against adaptive opportunistic criminals
S Gholami, C Zhang, A Sinha, M Tambe
32015
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