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Filters: Author is Samuel J Gershman [Clear All Filters]
How to never be wrong. Psychonomic Bulletin & Review 26, 13 - 28 (2019).
Incentives Boost Model-Based Control Across a Range of Severity on Several Psychiatric Constructs. Biological Psychiatry 85, 425 - 433 (2019).
The transdiagnostic structure of mental effort avoidance. Scientific Reports 9, (2019).
Planning Complexity Registers as a Cost in Metacontrol. Journal of Cognitive Neuroscience 30, 1391 - 1404 (2018).
Building machines that learn and think like people. Behavioral and Brain Sciences 40, e253 (2017).
Compositional inductive biases in function learning. Cogn Psychol 99, 44-79 (2017).
Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems. Psychol Sci 28, 1321-1333 (2017).
Human Learning in Atari. AAAI Spring Symposium Series (2017).
Reinforcement learning and episodic memory in humans and animals: an integrative framework. Annual Review of Psychology 68, (2017).
Thinking fast or slow? A reinforcement-learning approach. Society for Personality and Social Psychology (2017).
When Does Model-Based Control Pay Off?. PLoS Comput Biol 12, e1005090 (2016).
Where do hypotheses come from?. (2016).
Computational rationality: A converging paradigm for intelligence in brains, minds, and machines. Science 349, 273-278 (2015).
Discovering hierarchical motion structure. Vision Research Available online 26 March 2015, (2015).
Information Selection in Noisy Environments with Large Action Spaces. 9th Biennial Conference of the Cognitive Development Society Columbus, OH, (2015).