Volkan Ustun
Scholar

Volkan Ustun

Google Scholar ID: fmqi35EAAAAJ
Researcher, USC Institute for Creative Technologies
Deep Multi-agent Reinforcement LearningGraph Neural NetworksAgent based simulationCognitive Modeling
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Citations & Impact
All-time
Citations
303
 
H-index
9
 
i10-index
8
 
Publications
20
 
Co-authors
9
list available
Contact
No contact links provided.
Publications
8 items
GameplayQA: A Benchmarking Framework for Decision-Dense POV-Synced Multi-Video Understanding of 3D Virtual Agents
2026
Cited
0
GraphAllocBench: A Flexible Benchmark for Preference-Conditioned Multi-Objective Policy Learning
2026
Cited
0
Towards AI-Assisted Generation of Military Training Scenarios
2025
Cited
0
X-Ego: Acquiring Team-Level Tactical Situational Awareness via Cross-Egocentric Contrastive Video Representation Learning
2025
Cited
0
Implicit Behavioral Alignment of Language Agents in High-Stakes Crowd Simulations
2025
Cited
0
A data-driven discretized CS:GO simulation environment to facilitate strategic multi-agent planning research
2025
Cited
0
Detecting AI Assistance in Abstract Complex Tasks
2025
Cited
0
Abstracting Geo-specific Terrains to Scale Up Reinforcement Learning
2025
Cited
0
Resume (English only)
Co-authors
9 total
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Teawon Han
Teawon Han
Sr. Motion Planning Software Engineer at Motional AD.
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