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Filters: Author is Gershman, Samuel J. [Clear All Filters]
Hard choices: Children’s understanding of the cost of action selection. . Cognitive Science Society (2019). phk_cogsci_2019_final.pdf (276.14 KB)
Hippocampal Remapping as Hidden State Inference. (2019). doi:https://doi.org/10.1101/743260 CBMM-Memo-101.pdf (12.78 MB)
Incentives Boost Model-Based Control Across a Range of Severity on Several Psychiatric Constructs. Biological Psychiatry 85, 425 - 433 (2019).
Planning Complexity Registers as a Cost in Metacontrol. Journal of Cognitive Neuroscience 30, 1391 - 1404 (2018).
Cost-Benefit Arbitration Between Multiple Reinforcement-Learning Systems. Psychol Sci 28, 1321-1333 (2017).
Human Learning in Atari. AAAI Spring Symposium Series (2017). Tsividis et al - Human Learning in Atari.pdf (844.47 KB)
Reinforcement learning and episodic memory in humans and animals: an integrative framework. Annual Review of Psychology 68, (2017). GershmanDaw17.pdf (422.11 KB)
Thinking fast or slow? A reinforcement-learning approach. Society for Personality and Social Psychology (2017). KoolEtAl_SPSP_2017.pdf (670.35 KB)
Building machines that learn and think like people. (2016). machines_that_think.pdf (3.45 MB)
Probing the compositionality of intuitive functions. (2016). CBMM-Memo-048.pdf (815.72 KB)
When Does Model-Based Control Pay Off?. PLoS Comput Biol 12, e1005090 (2016). KoolEtAl_PLOS_CB.PDF (5.85 MB)
Where do hypotheses come from?. (2016). CBMM-Memo-056-v2.pdf (733.35 KB)
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). hierarchical_motion.pdf (582.01 KB)
Information Selection in Noisy Environments with Large Action Spaces. 9th Biennial Conference of the Cognitive Development Society Columbus, OH, (2015).