Scholar
Christine Konicki
Google Scholar ID: szGH94IAAAAJ
PhD Candidate, University of Michigan
Citations & Impact
Citations
26
H-index
2
i10-index
2
Publications
6
Co-authors
3
list available
Publications
Resume (English only)
Academic Achievements
- Published papers: 'Exploiting Extensive-Form Structure in Empirical Game-Theoretic Analysis' (WINE 2022); 'Bribery in Balanced Knockout Tournaments (Extended Abstract)' (AAMAS 2019). Received Rackham Conference Travel Grant for WINE 2022.
Research Experience
- Primary research focus on empirical game theory for extensive-form games, involving strategy exploration and using more refined Nash solution concepts. Initially researched computational social choice and computational complexity at MIT.
Education
- PhD candidate at the University of Michigan-Ann Arbor, Computer Science and Engineering department; Advisor: Professor Michael P. Wellman; Master's student at MIT, Supervisor: Virginia Vassilevska Williams.
Background
- Research interests include game theory, multiagent systems/learning, reinforcement learning, computational complexity, and artificial intelligence. Passionate about teaching, enjoys crochet, running, and reading in her free time.
Miscellany
- Hobbies include crochet, running, and reading.
