Welcome to the Teamcore Research Group.
The Teamcore group's roots are in Artificial Intelligence and within that on multiple interacting agents and computational game theory: our research focuses on challenges of planning, learning, coordination for intelligent agents or teams or networks acting in friendly or adversarial settings. Our emphasis is working on problems driven by real-world needs and real-world data in security and sustainability.
Our research is in REAL-WORLD use to optimize security deployments, for protecting ports, airports, wildlife, fisheries and so on, here in the United States and in other countries. This includes the PROTECT system deployed by the US Coast Guard in a number of ports nationwide for planning effective randomized patrols, IRIS by the Federal Air Marshals service, ARMOR by the LAX airport and others.
Addressing Scalability and Robustness in Security Games with Multiple Boundedly Rational Adversaries
Conference on Decision and Game Theory for Security (GameSec). Authors: Matthew Brown, William B. Haskell, Milind TambeDetails
Defending Against Opportunistic Criminals: New Game-Theoretic Frameworks and Algorithms
Published In: Conference on Decision and Game Theory for Security(Gamesec) (2014) Authors: Chao Zhang, Albert Xin Jiang, Martin B. Short, Jeffrey P. Brantingham and Milind TambeDetails
Security Games in the Field: Deployments on a Transit System
Published In: Lecture Notes in Artificial Intelligence. Springer. Authors: F. M. Delle Fave; M. Brown; C. Zhang; E. Shieh; A. X. Jiang; H. Rosoff; M. Tambe and J. P. SullivanDetails
Efficient Solutions for Joint Activity Based Security Games: Fast Algorithms, Results and a Field Experiment on a Transit System
Published At: Journal of Autonomous Agents and Multi-Agent Systems (JAAMAS). Authors: Francesco M. Delle Fave, Eric Shieh, Manish Jain, Albert Xin Jiang, Heather Rosoff, Milind Tambe and John P. SullivanDetails
Game-theoretic Security Patrolling with Dynamic Execution Uncertainty and a Case Study on a Real Transit System
Published At: Journal of Artificial Intelligence Research, 50:321-367 Authors:F. M. Delle Fave, A. X. Jiang, Z. Yin, C. Zhang, M. Tambe, S. Kraus, J.P. SullivanDetails