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Annual Review of Psychology|September 14, 2016
Reinforcement Learning and Episodic Memory in Humans and Animals: An Integrative FrameworkSamuel J Gershman, Nathaniel D DawThe Journal of Neuroscience : the Official Journal of the Society for Neuroscience|October 30, 2009
Human reinforcement learning subdivides structured action spaces by learning effector-specific valuesSamuel J Gershman, Bijan Pesaran, Nathaniel D DawPsychological Science|April 6, 2013
The curse of planning: dissecting multiple reinforcement-learning systems by taxing the central executiveA Ross Otto, Samuel J Gershman, Arthur B Markman, et al.Neuron|March 26, 2011
Model-based influences on humans' choices and striatal prediction errorsNathaniel D Daw, Samuel J Gershman, Ben Seymour, et al.Plos Computational Biology|September 26, 2017
Predictive representations can link model-based reinforcement learning to model-free mechanismsEvan M Russek, Ida Momennejad, Matthew M Botvinick, et al.Neural Computation|December 11, 2013
Dopamine ramps are a consequence of reward prediction errorsSamuel J GershmanCognition|July 18, 2020
Origin of perseveration in the trade-off between reward and complexitySamuel J GershmanPsychonomic Bulletin & Review|January 14, 2015
Do learning rates adapt to the distribution of rewards?Samuel J GershmanPlos Computational Biology|November 5, 2015
A Unifying Probabilistic View of Associative LearningSamuel J GershmanPageof 34