Emma Brunskill

Most-cited papers

On the Opportunities and Risks of Foundation Models
Rishi Bommasani, Drew A. Hudson, E. Adeli, R. Altman +110 more
2021arXiv.org7,622 citations
Semantic Scholar
Towards the Systematic Reporting of the Energy and Carbon Footprints of Machine Learning
Peter Henderson, Jie Hu, Joshua Romoff, Emma Brunskill +2 more
2020arXiv.org816 citations
Semantic Scholar
Learning Near Optimal Policies with Low Inherent Bellman Error
Andrea Zanette, A. Lazaric, M. Kochenderfer, Emma Brunskill
2020International Conference on Machine Learning245 citations
Semantic Scholar
Preventing undesirable behavior of intelligent machines
P. Thomas, Bruno Castro da Silva, A. Barto, S. Giguere +2 more
2019Science193 citations
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Supervised Pretraining Can Learn In-Context Reinforcement Learning
Jonathan N. Lee, Annie Xie, Aldo Pacchiano, Yash Chandak +3 more
2023Neural Information Processing Systems180 citations Open access
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Scaling up behavioral science interventions in online education
René F. Kizilcec, J. Reich, Michael Yeomans, C. Dann +5 more
2020Proceedings of the National Academy of Sciences of the United States of America173 citations Open access
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Provable Benefits of Actor-Critic Methods for Offline Reinforcement Learning
Andrea Zanette, M. Wainwright, Emma Brunskill
2021Neural Information Processing Systems141 citations
Semantic Scholar
Roleplay-doh: Enabling Domain-Experts to Create LLM-simulated Patients via Eliciting and Adhering to Principles
Ryan Louie, Ananjan Nandi, William H. Fang, Cheng Chang +2 more
2024Conference on Empirical Methods in Natural Language Processing134 citations
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Provably Good Batch Reinforcement Learning Without Great Exploration
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
2020arXiv.org110 citations
Semantic Scholar
Evaluating Treatment Prioritization Rules via Rank-Weighted Average Treatment Effects
Steve Yadlowsky, S. Fleming, N. Shah, Emma Brunskill +1 more
2021Journal of the American Statistical Association109 citations Open access
Semantic Scholar
MedAlign: A Clinician-Generated Dataset for Instruction Following with Electronic Medical Records
S. Fleming, A. Lozano, W. Haberkorn, Jenelle A. Jindal +26 more
2023AAAI Conference on Artificial Intelligence108 citations Open access
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Provably Good Batch Off-Policy Reinforcement Learning Without Great Exploration
Yao Liu, Adith Swaminathan, Alekh Agarwal, Emma Brunskill
2020Neural Information Processing Systems97 citations
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GPTCoach: Towards LLM-Based Physical Activity Coaching
Matthew Jörke, Shardul Sapkota, Lyndsea Warkenthien, Niklas Vainio +3 more
2024International Conference on Human Factors in Computing Systems89 citations Open access
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EnglishBot: An AI-Powered Conversational System for Second Language Learning
S. Ruan, Liwei Jiang, Qianyao Xu, Zhiyuan Liu +3 more
2021International Conference on Intelligent User Interfaces82 citations
Semantic Scholar
Off-policy Policy Evaluation For Sequential Decisions Under Unobserved Confounding
Hongseok Namkoong, Ramtin Keramati, Steve Yadlowsky, Emma Brunskill
2020Neural Information Processing Systems82 citations
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BookBuddy: Turning Digital Materials Into Interactive Foreign Language Lessons Through a Voice Chatbot
S. Ruan, A. Willis, Qianyao Xu, G. M. Davis +3 more
2019ACM Conference on Learning @ Scale74 citations Open access
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Improving Student Learning with Hybrid Human-AI Tutoring: A Three-Study Quasi-Experimental Investigation
Danielle R. Thomas, Jionghao Lin, Erin Gatz, Ashish Gurung +7 more
2023International Conference on Learning Analytics and Knowledge72 citations Open access
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Interpretable Off-Policy Evaluation in Reinforcement Learning by Highlighting Influential Transitions
Omer Gottesman, Joseph Futoma, Yao Liu, S. Parbhoo +3 more
2020International Conference on Machine Learning71 citations
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Provably Efficient Reward-Agnostic Navigation with Linear Value Iteration
Andrea Zanette, A. Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2020Neural Information Processing Systems68 citations
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Universal Off-Policy Evaluation
Yash Chandak, S. Niekum, Bruno C. da Silva, Erik G. Learned-Miller +2 more
2021Neural Information Processing Systems64 citations
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Fairer but Not Fair Enough On the Equitability of Knowledge Tracing
Shayan Doroudi, Emma Brunskill
2019International Conference on Learning Analytics and Knowledge63 citations Open access
Semantic Scholar
Supporting children's math learning with feedback-augmented narrative technology
S. Ruan, Jiayu He, Rui Ying, J. Burkle +10 more
2020International Conference on Interaction Design and Children56 citations Open access
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Power Constrained Bandits
Jiayu Yao, Emma Brunskill, Wei-Wei Pan, Susan A. Murphy +1 more
2020Machine Learning in Health Care48 citations
Semantic Scholar
The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement But May Increase Adopters' Exam Performances
Allen Nie, Yash Chandak, Miroslav Suzara, Ali Malik +5 more
2024ACM Conference on Learning @ Scale47 citations
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Reinforcement learning tutor better supported lower performers in a math task
S. Ruan, Allen Nie, William Steenbergen, Jiayu He +8 more
2023Machine-mediated learning40 citations Open access
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Online Model Selection for Reinforcement Learning with Function Approximation
Jonathan N. Lee, Aldo Pacchiano, Vidya K. Muthukumar, Weihao Kong +1 more
2020International Conference on Artificial Intelligence and Statistics39 citations
Semantic Scholar
Almost Horizon-Free Structure-Aware Best Policy Identification with a Generative Model
Andrea Zanette, Mykel J. Kochenderfer, Emma Brunskill
2019Neural Information Processing Systems38 citations
Semantic Scholar
Reinforcement Learning with State Observation Costs in Action-Contingent Noiselessly Observable Markov Decision Processes
H. Nam, S. Fleming, Emma Brunskill
2021Neural Information Processing Systems35 citations
Semantic Scholar
Key Phrase Extraction for Generating Educational Question-Answer Pairs
A. Willis, G. M. Davis, S. Ruan, Lakshmi Manoharan +2 more
2019ACM Conference on Learning @ Scale35 citations
Semantic Scholar
Waypoint Transformer: Reinforcement Learning via Supervised Learning with Intermediate Targets
Anirudhan Badrinath, Yannis Flet-Berliac, Allen Nie, Emma Brunskill
2023Neural Information Processing Systems31 citations Open access
Semantic Scholar
Towards Suggesting Actionable Interventions for Wheel Spinning Students
Tong Mu, Andrea Jetten, Emma Brunskill
2020Educational Data Mining28 citations
Semantic Scholar
Assessing the Potential of USMLE-Like Exam Questions Generated by GPT-4
S. Fleming, K. Morse, Aswathi Kumar, C. Chiang +3 more
2023medRxiv27 citations Open access
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Design of Experiments for Stochastic Contextual Linear Bandits
Andrea Zanette, Kefan Dong, Jonathan N. Lee, Emma Brunskill
2021Neural Information Processing Systems27 citations
Semantic Scholar
Limiting Extrapolation in Linear Approximate Value Iteration
Andrea Zanette, A. Lazaric, Mykel J. Kochenderfer, Emma Brunskill
2019Neural Information Processing Systems27 citations
Semantic Scholar
Can LLM-Simulated Practice and Feedback Upskill Human Counselors? A Randomized Study with 90+ Novice Counselors
Ryan Louie, Raj Sanjay Shah, Ifdita Hasan Orney, Juan Pablo Pacheco +2 more
2025International Conference on Human Factors in Computing Systems24 citations Open access
Semantic Scholar
Learning to be Fair: A Consequentialist Approach to Equitable Decision-Making
Alex Chohlas-Wood, Madison Coots, Henry Zhu, Emma Brunskill +1 more
2021Management Sciences24 citations Open access
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Psychometric Alignment: Capturing Human Knowledge Distributions via Language Models
Joy He-Yueya, W. Ma, Kanishk Gandhi, Benjamin W. Domingue +2 more
2024arXiv.org22 citations
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Towards the Future of AI-Augmented Human Tutoring in Math Learning
V. Aleven, Richard Baraniuk, Emma Brunskill, S. Crossley +9 more
2023International Conference on Artificial Intelligence in Education22 citations
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Evaluating and Optimizing Educational Content with Large Language Model Judgments
Joy He-Yueya, Noah D. Goodman, Emma Brunskill
2024Educational Data Mining21 citations
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Data-Efficient Pipeline for Offline Reinforcement Learning with Limited Data
Allen Nie, Yannis Flet-Berliac, D. Jordan, William Steenbergen +1 more
2022Neural Information Processing Systems18 citations Open access
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Proportional Response: Contextual Bandits for Simple and Cumulative Regret Minimization
Sanath Kumar Krishnamurthy, Ruohan Zhan, S. Athey, Emma Brunskill
2023Neural Information Processing Systems17 citations Open access
Semantic Scholar
Fake It Till You Make It: Learning-Compatible Performance Support
Jonathan Bragg, Emma Brunskill
2019Conference on Uncertainty in Artificial Intelligence17 citations
Semantic Scholar
Assessing the Quality of AI-Generated Exams: A Large-Scale Field Study
C. Isley, Joshua B Gilbert, Evangelos Kassos, Michael Kocher +8 more
2025AAAI Conference on Artificial Intelligence16 citations
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Oracle Inequalities for Model Selection in Offline Reinforcement Learning
Jonathan N. Lee, G. Tucker, Ofir Nachum, Bo Dai +1 more
2022Neural Information Processing Systems14 citations Open access
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Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring
Allen Nie, Ann-Katrin Reuel, Emma Brunskill
2023International Conference on Artificial Intelligence in Education12 citations
Semantic Scholar
Play to Grade: Testing Coding Games as Classifying Markov Decision Process
Allen Nie, Emma Brunskill, Chris Piech
2021Neural Information Processing Systems11 citations
Semantic Scholar
Human Tutoring Improves the Impact of AI Tutor Use on Learning Outcomes
Ashish Gurung, Jionghao Lin, Jordan Gutterman, Danielle R. Thomas +6 more
2025International Conference on Artificial Intelligence in Education10 citations
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Factored DRO: Factored Distributionally Robust Policies for Contextual Bandits
Tong Mu, Yash Chandak, Tatsunori B. Hashimoto, Emma Brunskill
2022Neural Information Processing Systems9 citations
Semantic Scholar
Bloom: Designing for LLM-Augmented Behavior Change Interactions
Matthew Jörke, D. Genç, Valentin Teutschbein, Shardul Sapkota +6 more
2025International Conference on Human Factors in Computing Systems8 citations Open access
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OPERA: Automatic Offline Policy Evaluation with Re-weighted Aggregates of Multiple Estimators
Allen Nie, Yash Chandak, Christina J. Yuan, Anirudhan Badrinath +2 more
2024Neural Information Processing Systems8 citations
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