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Evan M Russek

Showing results (1-10 of 11) with videos related to

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Cognitive Science|November 6, 2024
Inverting Cognitive Models With Neural Networks to Infer Preferences From FixationsEvan M Russek, Frederick Callaway, Thomas L Griffiths
Proceedings of the National Academy of Sciences of the United States of America|June 1, 2026
Resolving Feynman's restaurant problem reveals optimal solutions and human strategiesBrian Christian, Evan M Russek, Thomas L Griffiths
Computational Psychiatry (Cambridge, Mass.)|May 22, 2024
Components of Behavioral Activation Therapy for Depression Engage Specific Reinforcement Learning Mechanisms in a Pilot StudyQuentin J M Huys, Evan M Russek, George Abitante, et al.
Nature Communications|May 20, 2024
Heuristics in risky decision-making relate to preferential representation of informationEvan M Russek, Rani Moran, Yunzhe Liu, et al.
Trends in Cognitive Sciences|July 5, 2025
Looking deeper into the algorithms underlying human planningIonatan Kuperwajs, Evan M Russek, Marcelo G Mattar, 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.
Elife|October 10, 2022
Correction: Humans perseverate on punishment avoidance goals in multigoal reinforcement learningPaul B Sharp, Evan M Russek, Quentin J M Huys, et al.
Cognitive Science|October 25, 2025
Time Spent Thinking in Online Chess Reflects the Value of ComputationEvan M Russek, Daniel Acosta-Kane, Bas van Opheusden, et al.
Elife|February 24, 2022
Humans perseverate on punishment avoidance goals in multigoal reinforcement learningPaul B Sharp, Evan M Russek, Quentin J M Huys, et al.
The Behavioral and Brain Sciences|March 12, 2020
Opportunities for emotion and mental health research in the resource-rationality frameworkEvan M Russek, Rani Moran, Daniel McNamee, et al.
Pageof 2

Showing results (1-10 of 11) with videos related to

Sort By:
Pageof 2
Cognitive Science|November 6, 2024
Inverting Cognitive Models With Neural Networks to Infer Preferences From FixationsEvan M Russek, Frederick Callaway, Thomas L Griffiths
Proceedings of the National Academy of Sciences of the United States of America|June 1, 2026
Resolving Feynman's restaurant problem reveals optimal solutions and human strategiesBrian Christian, Evan M Russek, Thomas L Griffiths
Computational Psychiatry (Cambridge, Mass.)|May 22, 2024
Components of Behavioral Activation Therapy for Depression Engage Specific Reinforcement Learning Mechanisms in a Pilot StudyQuentin J M Huys, Evan M Russek, George Abitante, et al.
Nature Communications|May 20, 2024
Heuristics in risky decision-making relate to preferential representation of informationEvan M Russek, Rani Moran, Yunzhe Liu, et al.
Trends in Cognitive Sciences|July 5, 2025
Looking deeper into the algorithms underlying human planningIonatan Kuperwajs, Evan M Russek, Marcelo G Mattar, 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.
Elife|October 10, 2022
Correction: Humans perseverate on punishment avoidance goals in multigoal reinforcement learningPaul B Sharp, Evan M Russek, Quentin J M Huys, et al.
Cognitive Science|October 25, 2025
Time Spent Thinking in Online Chess Reflects the Value of ComputationEvan M Russek, Daniel Acosta-Kane, Bas van Opheusden, et al.
Elife|February 24, 2022
Humans perseverate on punishment avoidance goals in multigoal reinforcement learningPaul B Sharp, Evan M Russek, Quentin J M Huys, et al.
The Behavioral and Brain Sciences|March 12, 2020
Opportunities for emotion and mental health research in the resource-rationality frameworkEvan M Russek, Rani Moran, Daniel McNamee, et al.
Pageof 2