Emma Brunskill

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	Toate	Din 2019
Referințe bibliografice	15715	12844
h-index	56	51
i10-index	141	126

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Philip ThomasUniversity of Massachusetts AmherstAdresă de e-mail confirmată pe cs.umass.edu
Alessandro LazaricResearch Scientist, Facebook Artificial Intelligence ResearchAdresă de e-mail confirmată pe inria.fr
Christoph DannResearch Scientist, GoogleAdresă de e-mail confirmată pe google.com
Nicholas RoyMITAdresă de e-mail confirmată pe csail.mit.edu
Shayan DoroudiAssistant Professor at the University of California, IrvineAdresă de e-mail confirmată pe uci.edu
Zoran PopovicProfessor of Computer Science, Director Center for Game Science, University of WashingtonAdresă de e-mail confirmată pe cs.washington.edu
Lihong Li (李力鸿)AmazonAdresă de e-mail confirmată pe amazon.com
Ken KoedingerHCII, Carnegie Mellon UniversityAdresă de e-mail confirmată pe cmu.edu
Thomas KollarResearch Manager, TRIAdresă de e-mail confirmată pe tri.global
Seth Flaxmanassociate professor at OxfordAdresă de e-mail confirmată pe cs.ox.ac.uk
Gretchen A StevensWorld Health OrganizationAdresă de e-mail confirmată pe who.int
William ThiesEverwell (formerly Microsoft Research, MIT)Adresă de e-mail confirmată pe everwell.org
Anna RaffertyAssistant Professor, Carleton CollegeAdresă de e-mail confirmată pe carleton.edu
Ion StoicaProfessor of Computer Science, UC BerkeleyAdresă de e-mail confirmată pe cs.berkeley.edu
Frank DabekGoogleAdresă de e-mail confirmată pe google.com
Frans KaashoekMassuchesetts Institute of Technology (MIT)Adresă de e-mail confirmată pe mit.edu
David KargerProfessor of Computer Science, MITAdresă de e-mail confirmată pe mit.edu
Mohammad Gheshlaghi AzarCohereAdresă de e-mail confirmată pe cohere.com
Tomas Lozano-PerezProfessor of Computer Science, MITAdresă de e-mail confirmată pe mit.edu

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Emma Brunskill

Associate Professor of Computer Science, Stanford University

Adresă de e-mail confirmată pe cs.stanford.edu - Pagina de pornire

Reinforcement Learning Machine Learning Decision Making Under Uncertainty Online Education


Titlu Sortați după descrierea bibliografică Sortați după an Sortați după titlu	Citat de Citat de	Anul
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	3667	2021
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	858	2013
Data-efficient off-policy policy evaluation for reinforcement learning P Thomas, E Brunskill International Conference on Machine Learning, 2139-2148, 2016	736	2016
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	518	2020
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	389	2001
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	338	2011
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	320	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	305	2019
Sample complexity of episodic fixed-horizon reinforcement learning C Dann, E Brunskill Advances in Neural Information Processing Systems 28, 2015	277	2015
Faster teaching via pomdp planning AN Rafferty, E Brunskill, TL Griffiths, P Shafto Cognitive science 40 (6), 1290-1332, 2016	251	2016
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	251	2013
Offline policy evaluation across representations with applications to educational games. T Mandel, YE Liu, S Levine, E Brunskill, Z Popovic AAMAS 1077, 2014	239	2014
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	237	2020
Provably good batch off-policy reinforcement learning without great exploration Y Liu, A Swaminathan, A Agarwal, E Brunskill Advances in neural information processing systems 33, 1264-1274, 2020	218	2020
Quizbot: A dialogue-based adaptive learning system for factual knowledge S Ruan, L Jiang, J Xu, BJK Tham, Z Qiu, Y Zhu, EL Murnane, E Brunskill, ... Proceedings of the 2019 CHI conference on human factors in computing systems …, 2019	207	2019
Preventing undesirable behavior of intelligent machines PS Thomas, B Castro da Silva, AG Barto, S Giguere, Y Brun, E Brunskill Science 366 (6468), 999-1004, 2019	202	2019
Efficient exploration through bayesian deep q-networks K Azizzadenesheli, E Brunskill, A Anandkumar 2018 Information Theory and Applications Workshop (ITA), 1-9, 2018	202	2018
Scaling up behavioral science interventions in online education RF Kizilcec, J Reich, M Yeomans, C Dann, E Brunskill, G Lopez, S Turkay, ... Proceedings of the National Academy of Sciences 117 (26), 14900-14905, 2020	190	2020
The Impact on Individualizing Student Models on Necessary Practice Opportunities. JI Lee, E Brunskill International educational data mining society, 2012	178	2012
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	178	2009

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