Samuel Gershman

Получаване на мой собствен потребителски профил

Позовавания

	Всички	От 2017
Позовавания	15205	13070
h-индекс	61	60
i10-индекс	136	134

3500

1750

875

2625

20112012201320142015201620172018201920202021202267 150 254 349 508 680 1070 1651 2183 3332 3445 1314

Публичен достъп

Преглед на всички

112 статии

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Въз основа на изисквания при финансирането

Съавтори

Joshua B. TenenbaumMITПотвърден имейл адрес: mit.edu
Yael NivProfessor of Psychology and Neuroscience, Princeton UniversityПотвърден имейл адрес: princeton.edu
Kenneth A. NormanProfessor of Psychology and Neuroscience, Princeton UniversityПотвърден имейл адрес: princeton.edu
Eric SchulzMax Planck Institute for Biological CyberneticsПотвърден имейл адрес: tue.mpg.de
Matthew BotvinickDirector of Neuroscience Research, Team Lead in AI Research, DeepMindПотвърден имейл адрес: google.com
Nathaniel D. DawHuo Professor of Computational and Theoretical Neuroscience, Princeton UniversityПотвърден имейл адрес: princeton.edu
David BleiProfessor of Statistics and Computer Science, Columbia UniversityПотвърден имейл адрес: columbia.edu
Tomer UllmanAssistant Professor, HarvardПотвърден имейл адрес: fas.harvard.edu
Fiery CushmanPsychology, Harvard UniversityПотвърден имейл адрес: fas.harvard.edu
Wouter KoolAssistant Professor at Washington University in St. LouisПотвърден имейл адрес: wustl.edu
Kimberly Lauren StachenfeldResearch Scientist, DeepMindПотвърден имейл адрес: google.com
Naoshige UchidaProfessor of Molecular and Cellular Biology, Harvard UniversityПотвърден имейл адрес: mcb.harvard.edu
Ishita DasguptaResearch Scientist, DeepMind New York CityПотвърден имейл адрес: google.com
Noah D. GoodmanStanford UniversityПотвърден имейл адрес: stanford.edu
Brenden LakeAssistant Professor of Psychology and Data Science, New York UniversityПотвърден имейл адрес: nyu.edu
Rahul BhuiAssistant Professor, Massachusetts Institute of TechnologyПотвърден имейл адрес: mit.edu
Marie MonfilsProfessor; The University of Texas at AustinПотвърден имейл адрес: utexas.edu
Per B. SederbergAssociate Professor of Psychology, University of VirginiaПотвърден имейл адрес: virginia.edu
John G. MikhaelHarvardПотвърден имейл адрес: hms.harvard.edu
Ida MomennejadMicrosoft ResearchПотвърден имейл адрес: microsoft.com

Следене

Samuel Gershman

Professor, Harvard University

Потвърден имейл адрес: fas.harvard.edu - Начална страница

Computational neuroscience cognitive science machine learning


Заглавие Сортиране по цитати Сортиране по година Сортиране по заглавие	Позовавания Позовавания	Година
Building machines that learn and think like people BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman Behavioral and brain sciences 40, 2017	1935	2017
Model-based influences on humans' choices and striatal prediction errors ND Daw, SJ Gershman, B Seymour, P Dayan, RJ Dolan Neuron 69 (6), 1204-1215, 2011	1473	2011
A tutorial on Bayesian nonparametric models SJ Gershman, DM Blei Journal of Mathematical Psychology 56, 1-12, 2012	590	2012
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines SJ Gershman, EJ Horvitz, JB Tenenbaum Science 349 (6245), 273-278, 2015	529	2015
The hippocampus as a predictive map KL Stachenfeld, MM Botvinick, SJ Gershman Nature Neuroscience 20, 1643-1653, 2017	492	2017
Context, learning, and extinction SJ Gershman, DM Blei, Y Niv Psychological Review 117 (1), 197-209, 2010	349	2010
Reinforcement learning and episodic memory in humans and animals: an integrative framework SJ Gershman, ND Daw Annual review of psychology 68, 101-128, 2017	338	2017
The curse of planning: Dissecting multiple reinforcement learning systems by taxing the central executive AR Otto, SJ Gershman, AB Markman, ND Daw Psychological Science 24 (5), 751-761, 2013	317	2013
Reinforcement learning in multidimensional environments relies on attention mechanisms Y Niv, R Daniel, A Geana, SJ Gershman, YC Leong, A Radulescu, ... Journal of Neuroscience 35 (21), 8145-8157, 2015	285	2015
The successor representation in human reinforcement learning I Momennejad, EM Russek, JH Cheong, MM Botvinick, ND Daw, ... Nature human behaviour 1 (9), 680-692, 2017	271	2017
Amortized Inference in Probabilistic Reasoning SJ Gershman, ND Goodman Proceedings of the 36th Annual Cognitive Science Society, 2013	267	2013
Retrospective revaluation in sequential decision making: A tale of two systems SJ Gershman, AB Markman, AR Otto Journal of Experimental Psychology: General 143, 182-194, 2014	250	2014
Learning latent structure: carving nature at its joints SJ Gershman, Y Niv Current Opinion in Neurobiology 20 (2), 251-256, 2010	236	2010
Predictive representations can link model-based reinforcement learning to model-free mechanisms EM Russek, I Momennejad, MM Botvinick, SJ Gershman, ND Daw PLoS computational biology 13 (9), e1005768, 2017	230	2017
Interplay of approximate planning strategies QJM Huys, N Lally, P Faulkner, N Eshel, E Seifritz, SJ Gershman, ... Proceedings of the National Academy of Sciences 112 (10), 3098-3103, 2015	226	2015
Cost-benefit arbitration between multiple reinforcement-learning systems W Kool, SJ Gershman, FA Cushman Psychological science 28 (9), 1321-1333, 2017	187	2017
Deep successor reinforcement learning TD Kulkarni, A Saeedi, S Gautam, SJ Gershman arXiv preprint arXiv:1606.02396, 2016	180	2016
Toward a universal decoder of linguistic meaning from brain activation F Pereira, B Lou, B Pritchett, S Ritter, SJ Gershman, N Kanwisher, ... Nature communications 9 (1), 1-13, 2018	173	2018
Nonparametric variational inference S Gershman, M Hoffman, D Blei Proceedings of the 29th International Conference on Machine Learning, 2012	154	2012
Human reinforcement learning subdivides structured action spaces by learning effector-specific values SJ Gershman, B Pesaran, ND Daw Journal of Neuroscience 29 (43), 13524-13531, 2009	140	2009

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