Anna Winnicki
Scholar

Anna Winnicki

Google Scholar ID: NFoCRF0AAAAJ
University of Illinois at Urbana-Champaign
Reinforcement LearningApplied ProbabilityElectricity MarketsMachine Learning
Citations & Impact
All-time
Citations
101
 
H-index
6
 
i10-index
5
 
Publications
16
 
Co-authors
0
 
Contact
No contact links provided.
Resume (English only)
Academic Achievements
  • Finalist in the 2023 INFORMS Applied Probability Society Best Student Paper Competition; received the University of Illinois Urbana-Champaign Lieutenant General Thomas M. Rienzi Award in 2022 and 2020; received the University of Illinois Urbana-Champaign Grainger Power Engineering Award in 2020.
Research Experience
  • Works to understand the theoretical limitations of empirically successful reinforcement learning techniques and applies these techniques towards algorithms in related domains, providing efficient and convergent algorithms. Collaborating with Prof. Shie Mannor and his team at NVIDIA Research to implement work in their applications.
Education
  • Graduated from California Institute of Technology (Caltech) with a B.S. in Electrical Engineering in 2018; currently pursuing a Ph.D. at the University of Illinois Urbana-Champaign (UIUC), advised by Prof. R. Srikant.
Background
  • Ph.D. student at UIUC in Electrical and Computer Engineering, advised by Prof. R. Srikant. Research focus is on reinforcement learning theory. Has also worked on electricity markets.
Miscellany
  • On the 2023-2024 academic job market.
Co-authors
0 total
Co-authors: 0 (list not available)