Emma Brunskill

Citado por

	Total	Desde 2017
Citas	7541	5732
Índice h	42	38
Índice i10	113	98

1800

900

450

1350

2003200420052006200720082009201020112012201320142015201620172018201920202021202235 35 41 58 51 37 59 103 92 132 166 233 287 384 396 555 795 1083 1723 1171

Acceso público

Ver todo

59 artículos

0 artículos

disponibles

no disponibles

Basado en requisitos de financiación

Coautores

Philip ThomasUniversity of Massachusetts AmherstDirección de correo verificada de cs.umass.edu
Nicholas RoyMITDirección de correo verificada de csail.mit.edu
Christoph DannResearch Scientist, GoogleDirección de correo verificada de google.com
Alessandro LazaricResearch Scientist, Facebook Artificial Intelligence ResearchDirección de correo verificada de inria.fr
Yun-En LiuSenior Scientist, EnlearnDirección de correo verificada de cs.washington.edu
Shayan DoroudiAssistant Professor at the University of California, IrvineDirección de correo verificada de uci.edu
Zoran PopovicProfessor of Computer Science, Director Center for Game Science, University of WashingtonDirección de correo verificada de cs.washington.edu
Lihong Li (李力鸿)AmazonDirección de correo verificada de amazon.com
Thomas KollarPostdoctoral Fellow, CMUDirección de correo verificada de cmu.edu
William ThiesEverwell (formerly Microsoft Research, MIT)Dirección de correo verificada de everwell.org
Seth Flaxmanassociate professor at OxfordDirección de correo verificada de cs.ox.ac.uk
Gretchen A StevensIndependent researcherDirección de correo verificada de post.harvard.edu
Anna RaffertyAssistant Professor, Carleton CollegeDirección de correo verificada de carleton.edu
Ken KoedingerHillman Professor of Computer Science, Depts of Human-Computer Interaction & Psychology, CarnegieDirección de correo verificada de cmu.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyDirección de correo verificada de cs.berkeley.edu
Frank DabekGoogleDirección de correo verificada de google.com
Frans KaashoekMassuchesetts Institute of Technology (MIT)Dirección de correo verificada de mit.edu
David KargerProfessor of Computer Science, MITDirección de correo verificada de mit.edu
Tomas Lozano-PerezProfessor of Computer Science, MITDirección de correo verificada de mit.edu
Mohammad Gheshlaghi AzarResearch Scientist at DeepMindDirección de correo verificada de google.com

Seguir

Emma Brunskill

Associate Professor of Computer Science, Stanford University

Dirección de correo verificada de cs.stanford.edu - Página principal

Reinforcement Learning Machine Learning Decision Making Under Uncertainty Online Education


Título Ordenar por citas Ordenar por año Ordenar por título	Citado por Citado por	Año
Global and regional hearing impairment prevalence: an analysis of 42 studies in 29 countries G Stevens, S Flaxman, E Brunskill, M Mascarenhas, CD Mathers, ... The European Journal of Public Health 23 (1), 146-152, 2013	666	2013
Data-efficient off-policy policy evaluation for reinforcement learning P Thomas, E Brunskill International Conference on Machine Learning, 2139-2148, 2016	382	2016
Building peer-to-peer systems with Chord, a distributed lookup service F Dabek, E Brunskill, MF Kaashoek, D Karger, R Morris, I Stoica, ... Proceedings Eighth Workshop on Hot Topics in Operating Systems, 81-86, 2001	375	2001
Building peer-to-peer systems with Chord, a distributed lookup service F Dabek, E Brunskill, MF Kaashoek, D Karger, R Morris, I Stoica, ... Proceedings Eighth Workshop on Hot Topics in Operating Systems, 81-86, 2001	375	2001
On the opportunities and risks of foundation models R Bommasani, DA Hudson, E Adeli, R Altman, S Arora, S von Arx, ... arXiv preprint arXiv:2108.07258, 2021	294	2021
Designing mobile interfaces for novice and low-literacy users I Medhi, S Patnaik, E Brunskill, SNN Gautama, W Thies, K Toyama ACM Transactions on Computer-Human Interaction (TOCHI) 18 (1), 1-28, 2011	292	2011
Sample complexity of episodic fixed-horizon reinforcement learning C Dann, E Brunskill Advances in Neural Information Processing Systems 28, 2015	197	2015
New potentials for data-driven intelligent tutoring system development and optimization KR Koedinger, E Brunskill, RSJ Baker, EA McLaughlin, J Stamper AI Magazine 34 (3), 27-41, 2013	189	2013
Unifying PAC and regret: Uniform PAC bounds for episodic reinforcement learning C Dann, T Lattimore, E Brunskill Advances in Neural Information Processing Systems 30, 2017	188	2017
Tighter problem-dependent regret bounds in reinforcement learning without domain knowledge using value function bounds A Zanette, E Brunskill International Conference on Machine Learning, 7304-7312, 2019	178	2019
Offline policy evaluation across representations with applications to educational games. T Mandel, YE Liu, S Levine, E Brunskill, Z Popovic AAMAS 1077, 2014	176	2014
Evaluating the accuracy of data collection on mobile phones: A study of forms, SMS, and voice S Patnaik, E Brunskill, W Thies 2009 International Conference on Information and Communication Technologies …, 2009	170	2009
The Impact on Individualizing Student Models on Necessary Practice Opportunities. JI Lee, E Brunskill International Educational Data Mining Society, 2012	147	2012
Efficient exploration through bayesian deep q-networks K Azizzadenesheli, E Brunskill, A Anandkumar 2018 Information Theory and Applications Workshop (ITA), 1-9, 2018	145	2018
Towards the systematic reporting of the energy and carbon footprints of machine learning P Henderson, J Hu, J Romoff, E Brunskill, D Jurafsky, J Pineau Journal of Machine Learning Research 21 (248), 1-43, 2020	138	2020
Topological mapping using spectral clustering and classification E Brunskill, T Kollar, N Roy 2007 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2007	136	2007
Faster teaching by POMDP planning AN Rafferty, E Brunskill, TL Griffiths, P Shafto International Conference on Artificial Intelligence in Education, 280-287, 2011	112	2011
Learning near optimal policies with low inherent bellman error A Zanette, A Lazaric, M Kochenderfer, E Brunskill International Conference on Machine Learning, 10978-10989, 2020	111	2020
Pac-inspired option discovery in lifelong reinforcement learning E Brunskill, L Li International conference on machine learning, 316-324, 2014	111	2014
Policy certificates: Towards accountable reinforcement learning C Dann, L Li, W Wei, E Brunskill International Conference on Machine Learning, 1507-1516, 2019	105	2019

El sistema no puede realizar la operación en estos momentos. Inténtalo de nuevo más tarde.

Artículos 1–20

Citas por año

Citas duplicadas

Citas combinadas

Añadir coautoresCoautores

Seguir

Citado por

Coautores