Emma Brunskill

Emma Brunskill

Stanford University

H-index: 51

North America-United States

About Emma Brunskill

Emma Brunskill, With an exceptional h-index of 51 and a recent h-index of 44 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Reinforcement Learning, Machine Learning, Decision Making Under Uncertainty, Online Education.

His recent articles reflect a diverse array of research interests and contributions to the field:

Proportional response: Contextual bandits for simple and cumulative regret minimization

A Fast and Accurate Machine Learning Autograder for the Breakout Assignment

Waypoint transformer: Reinforcement learning via supervised learning with intermediate targets

Brief, Just-in-Time Teaching Tips to Support Computer Science Tutors

Supervised pretraining can learn in-context reinforcement learning

Evaluating and Optimizing Educational Content with Large Language Model Judgments

The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters’ Exam Performances

Reinforcement learning tutor better supported lower performers in a math task

Emma Brunskill Information

University

Position

Assistant Professor of Computer Science

Citations(all)

12424

Citations(since 2020)

9649

Cited By

5193

hIndex(all)

51

hIndex(since 2020)

44

i10Index(all)

125

i10Index(since 2020)

106

Email

University Profile Page

Stanford University

Google Scholar

View Google Scholar Profile

Emma Brunskill Skills & Research Interests

Reinforcement Learning

Machine Learning

Decision Making Under Uncertainty

Online Education

Top articles of Emma Brunskill

Title

Journal

Author(s)

Publication Date

Proportional response: Contextual bandits for simple and cumulative regret minimization

Advances in Neural Information Processing Systems

Sanath Kumar Krishnamurthy

Ruohan Zhan

Susan Athey

Emma Brunskill

2024/2/13

A Fast and Accurate Machine Learning Autograder for the Breakout Assignment

Evan Zheran Liu

David Yuan

Ahmed Ahmed

Elyse Cornwall

Juliette Woodrow

...

2024/3/7

Waypoint transformer: Reinforcement learning via supervised learning with intermediate targets

Advances in Neural Information Processing Systems

Anirudhan Badrinath

Yannis Flet-Berliac

Allen Nie

Emma Brunskill

2024/2/13

Brief, Just-in-Time Teaching Tips to Support Computer Science Tutors

Alan Y Cheng

Ellie Tanimura

Joseph Tey

Andrew C Wu

Emma Brunskill

2024/3/7

Supervised pretraining can learn in-context reinforcement learning

Advances in Neural Information Processing Systems

Jonathan Lee

Annie Xie

Aldo Pacchiano

Yash Chandak

Chelsea Finn

...

2024/2/13

Evaluating and Optimizing Educational Content with Large Language Model Judgments

arXiv preprint arXiv:2403.02795

Joy He-Yueya

Noah D Goodman

Emma Brunskill

2024/3/5

The GPT Surprise: Offering Large Language Model Chat in a Massive Coding Class Reduced Engagement but Increased Adopters’ Exam Performances

Allen Nie

Yash Chandak

Miroslav Suzara

Ali Malik

Juliette Woodrow

...

2024/4/25

Reinforcement learning tutor better supported lower performers in a math task

Machine Learning

Sherry Ruan

Allen Nie

William Steenbergen

Jiayu He

JQ Zhang

...

2024/2/9

Minimax-Regret Sample Selection in Randomized Experiments

arXiv preprint arXiv:2403.01386

Yuchen Hu

Henry Zhu

Emma Brunskill

Stefan Wager

2024/3/3

MedAlign: a clinician-generated dataset for instruction following with electronic medical records

arXiv preprint arXiv:2308.14089

Scott L Fleming

Alejandro Lozano

William J Haberkorn

Jenelle A Jindal

Eduardo P Reis

...

2023/8/27

Experiment planning with function approximation

Advances in Neural Information Processing Systems

Aldo Pacchiano

Jonathan Lee

Emma Brunskill

2024/2/13

Estimating the Causal Treatment Effect of Unproductive Persistence

Amelia Leon

Allen Nie

Yash Chandak

Emma Brunskill

2024/3/18

Understanding the Impact of Reinforcement Learning Personalization on Subgroups of Students in Math Tutoring

Allen Nie

Ann-Katrin Reuel

Emma Brunskill

2023/6/30

Adaptive Instrument Design for Indirect Experiments

Yash Chandak

Shiv Shankar

Vasilis Syrgkanis

Emma Brunskill

2023/10/13

Estimating Optimal Policy Value in General Linear Contextual Bandits

arXiv preprint arXiv:2302.09451

Jonathan N Lee

Weihao Kong

Aldo Pacchiano

Vidya Muthukumar

Emma Brunskill

2023/2/19

Estimating Optimal Policy Value in Linear Contextual Bandits Beyond Gaussianity

Transactions on Machine Learning Research

Jonathan Lee

Weihao Kong

Aldo Pacchiano

Vidya Muthukumar

Emma Brunskill

2023/9/18

Check for updates Towards the Future of AI-Augmented Human Tutoring in Math Learning

Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners, Doctoral Consortium and Blue Sky: 24th International Conference, AIED 2023, Tokyo, Japan, July 3–7, 2023, Proc

Vincent Aleven¹

Richard Baraniuk

Emma Brunskill

Scott Crossley

Dora Demszky

...

2023/6/29

On the opportunities and risks of foundation models. arXiv 2021

arXiv preprint arXiv:2108.07258

Rishi Bommasani

Drew A Hudson

Ehsan Adeli

Russ Altman

Simran Arora

...

2021/8/16

Texting and tutoring: Short-term K-3 reading interventions during the pandemic

The Journal of Educational Research

Rebecca D Silverman

Kristin Keane

Hsiaolin Hsieh

Emily Southerton

Renee C Scott

...

2023/9/3

Model-based offline reinforcement learning with local misspecification

Proceedings of the AAAI Conference on Artificial Intelligence

Kefan Dong

Yannis Flet-Berliac

Allen Nie

Emma Brunskill

2023/6/26

See List of Professors in Emma Brunskill University(Stanford University)

Co-Authors

H-index: 153
Ion Stoica

Ion Stoica

University of California, Berkeley

H-index: 99
David Karger

David Karger

Massachusetts Institute of Technology

H-index: 98
Frans Kaashoek

Frans Kaashoek

Massachusetts Institute of Technology

H-index: 82
Nicholas Roy

Nicholas Roy

Massachusetts Institute of Technology

H-index: 73
Seth Flaxman

Seth Flaxman

Imperial College London

H-index: 70
Tomas Lozano-Perez

Tomas Lozano-Perez

Massachusetts Institute of Technology

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