Scholar
Nicholas E. Corrado
Google Scholar ID: 7aEHl08AAAAJ
University of Wisconsin-Madison
Citations & Impact
Citations
27
H-index
3
i10-index
1
Publications
14
Co-authors
2
list available
Publications
Resume (English only)
Academic Achievements
- Publications: 'When Can Model-Free Reinforcement Learning be Enough for Thinking?' awarded Most-Thought-Provoking Paper at Finding the Frame Workshop @ RLC 2025 (Oral); 'AutoMixAlign: Adaptive Data Mixing for Multi-Task Preference Optimization in LLMs' accepted at ACL 2025 Main Conference; 'Centralized Adaptive Sampling for Reliable Co-training of Independent Multi-Agent Policies' under review. Awards: Top Review Award at NeurIPS 2024; Sandia Employee Recognition Award.
Research Experience
- Research intern at Amazon's Rufus team (working on multi-objective alignment for LLMs); Research intern at Sandia National Laboratories (working on RL for power grid management); Worked in databases with Jignesh Patel during the first year of his Ph.D.
Education
- Ph.D. in Computer Sciences from the University of Wisconsin-Madison, advised by Josiah Hanna; BPhil in Physics and B.S. in Mathematics from the University of Pittsburgh, studied with Vladimir Savinov.
Background
- Research Interests: Improving the data efficiency of reinforcement learning (RL) algorithms by designing better data collection strategies. Field: Computer Sciences.
Miscellany
- Looking for postdoc or research scientist opportunities starting Summer/Fall 2026.
