HATS Lab

Human-inspired Adaptive Teaming Systems

We develop autonomous synthetic characters and intelligent agents for military training simulations using multi-agent reinforcement learning, graph neural networks, and cognitive architectures.

People

Volkan Ustun

Research Lead, Principal Investigator

Yunzhe Wang

Ph.D. Student

Soham Hans

Ph.D. Student

Tim Aris

Ph.D. Student

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News

Nov 2025

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Oct 2025

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Recent Publications

Towards AI-Assisted Generation of Military Training Scenarios

Soham Hans, Volkan Ustun, Mark Core, Benjamin Nye, James Sterrett, Matthew Green

Interservice/Industry Training, Simulation, and Education Conference (I/ITSEC) • 2025

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Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations

Yunzhe Wang, Gale Lucas, Burcin Becerik-Gerber, Volkan Ustun

Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing (EMNLP) • 2025

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X-Ego: Acquiring Team-Level Tactical Situational Awareness via Cross-Egocentric Contrastive Video Representation Learning

Yunzhe Wang, Soham Hans, Volkan Ustun

arXiv preprint (arXiv) • 2025

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A Data-Driven Discretized CS:GO Simulation Environment to Facilitate Strategic Multi-Agent Planning Research

Yunzhe Wang, Volkan Ustun, Chris McGroarty

Proceedings of the 2025 Winter Simulation Conference (WSC) • 2025

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Detecting AI Assistance in Abstract Complex Tasks

Tyler King, Nikolos Gurney, John H. Miller, Volkan Ustun

arXiv preprint (arXiv) • 2025

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