Caspar Oesterheld
Scholar

Caspar Oesterheld

Google Scholar ID: xeEcRjkAAAAJ
Carnegie Mellon University
game theoryartificial intelligencedecision theory
Citations & Impact
All-time
Citations
444
 
H-index
13
 
i10-index
16
 
Publications
20
 
Co-authors
16
list available
Resume (English only)
Academic Achievements
  • Published several peer-reviewed papers such as 'Choosing What Game to Play without Selecting Equilibria: Inferring Safe (Pareto) Improvements in Binary Constraint Structures' (TARK 2025), 'Observation Interference in Partially Observable Assistance Games' (ICML 2025), and others; also has a number of working papers.
Research Experience
  • Caspar conducts research at Carnegie Mellon University, working on multiple projects, including several papers co-authored with his advisor, Vincent Conitzer.
Education
  • PhD in Computer Science, Carnegie Mellon University, Advisor: Vincent Conitzer.
Background
  • Caspar Oesterheld is a Computer Science PhD student at Carnegie Mellon University, supervised by Vincent Conitzer. He is interested in foundational topics in theoretical computer science, game theory, and AI safety.