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Eugene Vinitsky is an Assistant Professor at NYU Tandon School of Engineering. His research focuses on complex human-like behaviors emerging from groups of learning agents, particularly in the context of Reinforcement Learning (RL) and multi-agent systems. He explores applications that enable autonomous vehicles to operate in rich scenarios, addressing key questions about designing RL models that are compatible with human agents and synthesizing environments to effectively test agent capabilities. His work emphasizes algorithmic advancements and the development of software tools necessary for tackling these challenges. He leads research initiatives centered on multi-agent Reinforcement Learning algorithms and the creation of data-driven simulators.
Administered by the Department of Electrical and Computer Engineering.