Samuel Gershman
Samuel Gershman
Associate Professor, Harvard University
Bestätigte E-Mail-Adresse bei fas.harvard.edu - Startseite
Titel
Zitiert von
Zitiert von
Jahr
Building machines that learn and think like people
BM Lake, TD Ullman, JB Tenenbaum, SJ Gershman
Behavioral and brain sciences 40, 2017
13532017
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
12392011
A tutorial on Bayesian nonparametric models
SJ Gershman, DM Blei
Journal of Mathematical Psychology 56, 1-12, 2012
5022012
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines
SJ Gershman, EJ Horvitz, JB Tenenbaum
Science 349 (6245), 273-278, 2015
4162015
The hippocampus as a predictive map
KL Stachenfeld, MM Botvinick, SJ Gershman
Nature Neuroscience 20, 1643-1653, 2017
3172017
Context, learning, and extinction
SJ Gershman, DM Blei, Y Niv
Psychological Review 117 (1), 197-209, 2010
3112010
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
2702013
Reinforcement learning and episodic memory in humans and animals: an integrative framework
SJ Gershman, ND Daw
Annual review of psychology 68, 101-128, 2017
2352017
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
2272014
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
2112015
Learning latent structure: carving nature at its joints
SJ Gershman, Y Niv
Current Opinion in Neurobiology 20 (2), 251-256, 2010
1992010
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
1962017
Amortized Inference in Probabilistic Reasoning
SJ Gershman, ND Goodman
Proceedings of the 36th Annual Cognitive Science Society, 2013
1922013
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
1862015
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
1762017
Cost-benefit arbitration between multiple reinforcement-learning systems
W Kool, SJ Gershman, FA Cushman
Psychological science 28 (9), 1321-1333, 2017
1412017
Nonparametric variational inference
S Gershman, M Hoffman, D Blei
Proceedings of the 29th International Conference on Machine Learning, 2012
1362012
Deep successor reinforcement learning
TD Kulkarni, A Saeedi, S Gautam, SJ Gershman
arXiv preprint arXiv:1606.02396, 2016
1322016
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
1252009
Multitasking versus multiplexing: Toward a normative account of limitations in the simultaneous execution of control-demanding behaviors
SF Feng, M Schwemmer, SJ Gershman, JD Cohen
Cognitive, Affective, & Behavioral Neuroscience 14 (1), 129-146, 2014
1172014
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