Mayank Agrawal
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Using large-scale experiments and machine learning to discover theories of human decision-making
JC Peterson, DD Bourgin, M Agrawal, D Reichman, TL Griffiths
Science 372 (6547), 1209-1214, 2021
The temporal dynamics of opportunity costs: A normative account of cognitive fatigue and boredom
M Agrawal, MG Mattar, JD Cohen, ND Daw
Psychological Review, 2021
Scaling up psychology via scientific regret minimization
M Agrawal, JC Peterson, TL Griffiths
Proceedings of the National Academy of Sciences 117 (16), 8825-8835, 2020
Predicting beta bursts from local field potentials to improve closed-loop DBS paradigms in ParkinsonĘs patients
EM Moraud, G Tinkhauser, M Agrawal, P Brown, R Bogacz
2018 40th Annual International Conference of the IEEE Engineering in†…, 2018
Pyglmnet: Python implementation of elastic-net regularized generalized linear models
M Jas, T Achakulvisut, A Idrizović, D Acuna, M Antalek, V Marques, ...
Journal of Open Source Software 5 (47), 2020
Using machine learning to guide cognitive modeling: A case study in moral reasoning
M Agrawal, JC Peterson, TL Griffiths
Proceedings of the 41st Annual Conference of the Cognitive Science Society., 2019
Stress, intertemporal choice, and mitigation behavior during the COVID-19 pandemic
M Agrawal, JC Peterson, JD Cohen, TL Griffiths
PsyArXiv, 2022
A computational model of unintentional mind wandering in focused attention meditation
I Christian, M Agrawal
Proceedings of the 44th Annual Conference of the Cognitive Science Society., 2022
Maxim Consequentialism for Bounded Agents
M Agrawal, D Danks
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