Emma Brunskill

Stanford University — United States

Computer Science · Physical Sciences

41h-index8.1kcitations247works6.72yr avg
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Research Topics

Reinforcement Learning in Robotics(85), Advanced Bandit Algorithms Research(65), Machine Learning and Algorithms(43), Intelligent Tutoring Systems and Adaptive Learning(42), Online Learning and Analytics(33)

Publications247 total

Computer-assisted learning in the real world: How Khan Academy influences student math learning
Proceedings of the National Academy of Sciences·2026Open Access
Repairing Reward Functions with Feedback to Mitigate Reward Hacking
ArXiv.org·2025Open Access
Bloom: Designing for LLM-Augmented Behavior Change Interactions
arXiv (Cornell University)·2025Open Access
Automated reminders reduce incarceration for missed court dates: Evidence from a text message experiment
Science Advances·2025Open Access
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
arXiv (Cornell University)·2025Open Access
Efficient RL for optimizing conversation level outcomes with an LLM-based tutor
arXiv (Cornell University)·2025Open Access
The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement But May Increase Adopters' Exam Performances
2025· 2 cited
Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors
arXiv (Cornell University)·2025Open Access
GPTCoach: Towards LLM-Based Physical Activity Coaching
2025· 15 cited
Cost-Aware Near-Optimal Policy Learning
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
Exploring the Benefit of Customizing Feedback Interventions For Educators and Students With Offline Contextual Multi-Armed Bandits
2025· 1 citedOpen Access
Predicting Long-Term Student Outcomes from Short-Term EdTech Log Data
2025· 3 citedOpen Access
Human Tutoring Improves the Impact of AI Tutor Use on Learning Outcomes
Lecture notes in computer science·2025
Predicting Long Term Sequential Policy Value Using Softer Surrogates
arXiv (Cornell University)·2024Open Access
Learning to Be Fair: A Consequentialist Approach to Equitable Decision Making
Management Science·2024· 10 cited
Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects
Journal of the American Statistical Association·2024· 45 citedOpen Access
Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models
arXiv (Cornell University)·2024· 1 citedOpen Access
Examining the Use of an AI-Powered Teacher Orchestration Tool at Scale
2024· 2 cited
Minimax-Regret Sample Selection in Randomized Experiments
2024
Short-Long Policy Evaluation with Novel Actions
arXiv (Cornell University)·2024Open Access
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Frequent Co-authors

Christoph Dann(5), Sherry Ruan(5), James A. Landay(5), Travis Mandel(4), Yun-En Liu(4), Zoran Popović(4), Peter Henderson(3), Dan Jurafsky(3), Kenneth R. Koedinger(3), Liwei Jiang(3), Philip S. Thomas(3), Nicholas Roy(3), Shayan Doroudi(3), Qianyao Xu(3), Glenn M. Davis(3), Alessandro Lazaric(3), Joshua Romoff(2), Joëlle Pineau(2), Somani Patnaik(2), William Thies(2)