| 2026 | ACL | GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents. | Yunzhe Wang, Runhui Xu, Kexin Zheng, Tianyi Zhang, Jayavibhav Niranjan Kogundi, Soham Hans, Volkan Ustun |
| 2025 | EMAS | A Multi-agent Collaborative Reasoning Framework for Generating Physics Puzzles. | Binze Li, Soham Hans, Volkan Ustun |
| 2025 | EMNLP | Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations. | Yunzhe Wang, Gale M. Lucas, Burcin Becerik-Gerber, Volkan Ustun |
| 2025 | HCI | Detecting AI Assistance in Abstract Complex Tasks. | Tyler King, Nikolos Gurney, John H. Miller, Volkan Ustun |
| 2025 | WSC | A Data-Driven Discretized CS: GO Simulation Environment to Facilitate Strategic Multi-Agent Planning Research. | Yunzhe Wang, Volkan Ustun, Chris McGroarty |
| 2024 | FlAIRS | Training Reinforcement Learning Agents to React to an Ambush for Military Simulations. | Timothy Aris, Volkan Ustun, Rajay Kumar |
| 2024 | FlAIRS | Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization. | Caleb Koresh, Volkan Ustun, Rajay Kumar, Timothy Aris |
| 2024 | FlAIRS | Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning. | Lixing Liu, Volkan Ustun, Rajay Kumar |
| 2024 | HCI | Spontaneous Theory of Mind for Artificial Intelligence. | Nikolos Gurney, David V. Pynadath, Volkan Ustun |
| 2024 | ICAART | Assessing Routing Decisions of Search and Rescue Teams in Service of an Artificial Social Intelligence Agent. | Volkan Ustun, Ronit Jorvekar, Nikolos Gurney, David V. Pynadath, Yunzhe Wang |
| 2023 | FlAIRS | Learning to Take Cover with Navigation-Based Waypoints via Reinforcement Learning. | Timothy Aris, Volkan Ustun, Rajay Kumar |
| 2023 | FlAIRS | Leveraging Graph Networks to Model Environments in Reinforcement Learning. | Viswanath Chadalapaka, Volkan Ustun, Lixing Liu |
| 2023 | ICCE | Improving Teamwork through a Decision-Theoretic Coach in a Minecraft Search-and-Rescue Game. | David V. Pynadath, Nikolas Gurney, Sarah Kenny, Rajay Kumar, Stacy Marsella, Haley Matuszak, Hala Mostafa, Pedro Sequeira, Volkan Ustun, Peggy Wu |
| 2022 | FlAIRS | Learning to Take Cover on Geo-Specific Terrains via Reinforcement Learning. | Timothy Aris, Volkan Ustun, Rajay Kumar |
| 2021 | WSC | Graph Neural Network Based Behavior Prediction to Support Multi-Agent Reinforcement Learning in Military Training Simulations. | Lixing Liu, Nikolos Gurney, Kyle McCullough, Volkan Ustun |
| 2015 | CogSci | Hierarchical Reasoning with Distributed Vector Representations. | Cody Kommers, Volkan Ustun, Abram Demski, Paul S. Rosenbloom |
| 2015 | IVA | Towards Adaptive, Interactive Virtual Humans in Sigma. | Volkan Ustun, Paul S. Rosenbloom |
| 2015 | NAACL | Combining Distributed Vector Representations for Words. | Justin Garten, Kenji Sagae, Volkan Ustun, Morteza Dehghani |
| 2015 | WSC | Building high fidelity human behavior models in the Sigma cognitive architecture. | Volkan Ustun, Paul S. Rosenbloom, Julia Kim, Lingshan Li |
| 2009 | WSC | A Simple Example of SysML-driven Simulation. | Leon F. McGinnis, Volkan Ustun |
| 2008 | WSC | Mental simulation for creating realistic behavior in physical security systems simulation. | Volkan Ustun, Jeffrey S. Smith |
| 2005 | WSC | A conceptual architecture for static features in physical security simulation. | Volkan Ustun, Haluk Yapicioglu, Skylab R. Gupta, Abishek Ramesh, Jeffrey S. Smith |
| 2004 | WSC | Localization Using Discrete Event Simulation. | Baybora Aksoy, Volkan Ustun, Jeffrey S. Smith |