Eugene Vinitsky
Scholar

Eugene Vinitsky

Google Scholar ID: 6dr5fLEAAAAJ
Assistant Professor, NYU
Reinforcement LearningAutonomous VehiclesMulti-agent SystemsControl
Citations & Impact
All-time
Citations
4,558
 
H-index
21
 
i10-index
31
 
Publications
20
 
Co-authors
19
list available
Resume (English only)
Background
  • Incoming Assistant Professor in Civil Engineering at NYU Tandon since 2023
  • Research goal: enabling complex, human-like behavior to emerge from unsupervised interaction among learning agents
  • Applications focus on robotics and transportation
  • Current research interests: using RL to model human agents, ensuring human compatibility of RL agents, synthesizing environments to test agent capabilities, and developing necessary algorithmic and software tools
  • Practical work involves advancing multi-agent RL algorithms, designing data-driven simulators, and deploying simulator-designed controllers in real-world systems