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Jan Balaguer

Showing results (1-10 of 12) with videos related to

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Proceedings of the National Academy of Sciences of the United States of America|December 31, 2020
Optimal utility and probability functions for agents with finite computational precisionKeno Juechems, Jan Balaguer, Bernhard Spitzer, et al.
Neuron|May 20, 2016
Neural Mechanisms of Hierarchical Planning in a Virtual Subway NetworkJan Balaguer, Hugo Spiers, Demis Hassabis, et al.
Neuron|February 10, 2017
Ventromedial Prefrontal Cortex Encodes a Latent Estimate of Cumulative RewardKeno Juechems, Jan Balaguer, Maria Ruz, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 17, 2018
Comparing continual task learning in minds and machinesTimo Flesch, Jan Balaguer, Ronald Dekker, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 1, 2018
Gain control explains the effect of distraction in human perceptual, cognitive, and economic decision makingVickie Li, Elizabeth Michael, Jan Balaguer, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 23, 2017
Robust sampling of decision information during perceptual choiceHildward Vandormael, Santiago Herce Castañón, Jan Balaguer, et al.
Neuron|January 27, 2019
A Network for Computing Value Equilibrium in the Human Medial Prefrontal CortexKeno Juechems, Jan Balaguer, Santiago Herce Castañón, et al.
Nature Human Behaviour|September 7, 2023
Scaffolding cooperation in human groups with deep reinforcement learningKevin R McKee, Andrea Tacchetti, Michiel A Bakker, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Deep mechanism design: Learning social and economic policies for human benefitAndrea Tacchetti, Raphael Koster, Jan Balaguer, et al.
Nature Communications|March 23, 2025
Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problemRaphael Koster, Miruna Pîslar, Andrea Tacchetti, et al.
Pageof 2

Showing results (1-10 of 12) with videos related to

Sort By:
Pageof 2
Proceedings of the National Academy of Sciences of the United States of America|December 31, 2020
Optimal utility and probability functions for agents with finite computational precisionKeno Juechems, Jan Balaguer, Bernhard Spitzer, et al.
Neuron|May 20, 2016
Neural Mechanisms of Hierarchical Planning in a Virtual Subway NetworkJan Balaguer, Hugo Spiers, Demis Hassabis, et al.
Neuron|February 10, 2017
Ventromedial Prefrontal Cortex Encodes a Latent Estimate of Cumulative RewardKeno Juechems, Jan Balaguer, Maria Ruz, et al.
Proceedings of the National Academy of Sciences of the United States of America|October 17, 2018
Comparing continual task learning in minds and machinesTimo Flesch, Jan Balaguer, Ronald Dekker, et al.
Proceedings of the National Academy of Sciences of the United States of America|September 1, 2018
Gain control explains the effect of distraction in human perceptual, cognitive, and economic decision makingVickie Li, Elizabeth Michael, Jan Balaguer, et al.
Proceedings of the National Academy of Sciences of the United States of America|February 23, 2017
Robust sampling of decision information during perceptual choiceHildward Vandormael, Santiago Herce Castañón, Jan Balaguer, et al.
Neuron|January 27, 2019
A Network for Computing Value Equilibrium in the Human Medial Prefrontal CortexKeno Juechems, Jan Balaguer, Santiago Herce Castañón, et al.
Nature Human Behaviour|September 7, 2023
Scaffolding cooperation in human groups with deep reinforcement learningKevin R McKee, Andrea Tacchetti, Michiel A Bakker, et al.
Proceedings of the National Academy of Sciences of the United States of America|June 16, 2025
Deep mechanism design: Learning social and economic policies for human benefitAndrea Tacchetti, Raphael Koster, Jan Balaguer, et al.
Nature Communications|March 23, 2025
Deep reinforcement learning can promote sustainable human behaviour in a common-pool resource problemRaphael Koster, Miruna Pîslar, Andrea Tacchetti, et al.
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