Funder: DARPA CSSP. Imbuing Human-Robot Teams with Intention Recognition. Dr. Gita Sukthankar email@example.com Students: Ken Laviers , Bennie Lewis. Intelligent Agents Lab. Robots (Mechanical Agents). Software Agents. Intention (Plan , Activity, Goal) Recognition. Humans
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firstname.lastname@example.orgStudents: Ken Laviers, Bennie Lewis
(Plan, Activity, Goal)Recognition
Exploit adversarial models to improve team decision-making
Divide and conquer the problem into several learning modules
Successor state estimator
Individual modules are inaccurate but combine to learn an effective play adaptation.
Use Monte Carlo search to rapidly evaluate large number of play adaptations
Adaptive agents improves the yardage gained in a play and reduce the number of interceptionsover the standard game AI.
(view from an overhead camera)
(gamepad control is popular with our student test subjects)
Agents are well-positioned to serve as an enabler of mutual predictability through a combination of intention recognition and communication monitoring.