Eugene Vinitsky

Eugene Vinitsky is an Assistant Professor in the Civil, Urban, and Environmental Engineering Department at NYU Tandon School of Engineering. His research focuses on reinforcement learning, autonomous vehicles, and traffic control. Vinitsky's work explores how to design models of human agents using reinforcement learning and ensure that these agents are human-compatible. He is part of C2SMARTER, NYU Tandon's U.S. Department of Transportation-funded Tier 1 University Transportation Center. His research aims to develop adaptive AI systems that can infer human behaviors and operate safely in real-world scenarios, with applications in autonomous vehicles and robotic assistants.

Eugene Vinitsky is an Assistant Professor at NYU whose research focuses on Reinforcement Learning, Autonomous Vehicles, Multi-agent Systems, and Applied Game Theory. His work explores the application of reinforcement learning in complex environments such as mixed-autonomy traffic and multi-agent cooperative games. Vinitsky has developed frameworks for simulating and controlling vehicular systems, emphasizing the integration of deep reinforcement learning with real-world traffic scenarios. His research also investigates emergent behaviors in autonomous systems and the transfer of policies from simulation to real-world settings. Through these efforts, he contributes to the advancement of intelligent transportation systems and multi-agent decision-making.