Stephane Hatgis-Kessell
Scholar

Stephane Hatgis-Kessell

Google Scholar ID: OEGgKkMAAAAJ
Ph.D. Student, Stanford University
RLHFAlignmentAI SafetyReinforcement Learning
Citations & Impact
All-time
Citations
77
 
H-index
2
 
i10-index
2
 
Publications
3
 
Co-authors
0
 
Resume (English only)
Academic Achievements
  • Recipient of the NSF Graduate Research Fellowship.
Research Experience
  • Focused on reinforcement learning from human feedback during his time at the University of Texas at Austin.
Education
  • Completed an undergraduate degree in Computer Science at the University of Texas at Austin, working closely with Prof. Brad Knox, Prof. Peter Stone, and Prof. Scott Niekum on reinforcement learning from human feedback (RLHF). Currently a Ph.D. student at Stanford University, advised by Prof. Emma Brunskill.
Background
  • Ph.D. student at Stanford University, with research interests in building safe AI systems that do what humans actually want. Recipient of the NSF Graduate Research Fellowship.
Co-authors
0 total
Co-authors: 0 (list not available)