Joey Hejna
Scholar

Joey Hejna

Google Scholar ID: y_sLoXoAAAAJ
Stanford University
Reinforcement LearningMachine Learning
Citations & Impact
All-time
Citations
2,623
 
H-index
15
 
i10-index
18
 
Publications
20
 
Co-authors
5
list available
Resume (English only)
Academic Achievements
  • Paper: Data Retrieval with Importance Weights for Few-Shot Imitation Learning (CoRL 2024)
  • Paper: Scaffolding Dexterous Manipulation with Vision Language Models (NeurIPS 2025)
  • Paper: Robot Data Curation with Mutual Information Estimators (RSS 2025)
  • Paper: Efficiently Generating Expressive Quadruped Behaviors via Language-Guided Preference Learning (ICRA 2025)
  • Paper: Vision Language Models are In-Context Value Learners (ICLR 2025)
  • Paper: Show, Don't Tell: Aligning Language Models with Demonstrated Feedback (ICLR 2025)
  • Paper: ReMix: Optimizing Dataset Mixtures for Large Scale Imitation Learning (CoRL 2024, Best Paper Nominee)
Research Experience
  • Was a research intern at Physical Intelligence and a student researcher in the Google Deepmind Robotics group. Currently on the job market.
Education
  • Pursuing a PhD at Stanford University, advised by Dorsa Sadigh; completed undergrad at UC Berkeley, where he worked with Professors Pieter Abbeel and Lerrel Pinto.
Background
  • A final year PhD student in the computer science department at Stanford University, with research interests in learning for decision making and robotics.
Miscellany
  • Email: jhejna@cs.stanford.edu; CV, Github, Scholar