Adaptive Synthetic Characters for Military Training. - Volkan Ustun; Rajay Kumar; Adam Reilly; Seyed Sajjadi; Andrew Miller (CoRR, 2021)

Learning to Take Cover on Geo-Specific Terrains via Reinforcement Learning. - Timothy Aris; Volkan Ustun; Rajay Kumar (FLAIRS, 2022)

Effectiveness of Teamwork-Level Interventions through Decision-Theoretic Reasoning in a Minecraft Search-and-Rescue Task. - David V. Pynadath; Nikolos Gurney; Sarah Kenny; Rajay Kumar; Stacy C. Marsella; Haley Matuszak; Hala Mostafa; Pedro Sequeira; Volkan Ustun; Peggy Wu (AAMAS, 2023)

Learning to Take Cover with Navigation-Based Waypoints via Reinforcement Learning. - Timothy Aris; Volkan Ustun; Rajay Kumar (FLAIRS, 2023)

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 (ICCE, 2023)

Training Reinforcement Learning Agents to React to an Ambush for Military Simulations. - Timothy Aris; Volkan Ustun; Rajay Kumar (FLAIRS, 2024)

Improving Reinforcement Learning Experiments in Unity through Waypoint Utilization. - Caleb Koresh; Volkan Ustun; Rajay Kumar; Timothy Aris (FLAIRS, 2024)

Leveraging Organizational Hierarchy to Simplify Reward Design in Cooperative Multi-agent Reinforcement Learning. - Lixing Liu; Volkan Ustun; Rajay Kumar (FLAIRS, 2024)

Abstracting Geo-specific Terrains to Scale Up Reinforcement Learning. - Volkan Ustun; Soham Hans; Rajay Kumar; Yunzhe Wang (CoRR, 2025)