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reinforcement learning rl models fit behavior  (MathWorks Inc)


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    MathWorks Inc reinforcement learning rl models fit behavior
    (A) <t>Reinforcement</t> schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).
    Reinforcement Learning Rl Models Fit Behavior, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 73 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/reinforcement learning rl models fit behavior/product/MathWorks Inc
    Average 94 stars, based on 73 article reviews
    reinforcement learning rl models fit behavior - by Bioz Stars, 2026-06
    94/100 stars

    Images

    1) Product Images from "Neurocomputational mechanisms of adaptive learning in social exchanges"

    Article Title: Neurocomputational mechanisms of adaptive learning in social exchanges

    Journal: Cognitive, affective & behavioral neuroscience

    doi: 10.3758/s13415-019-00697-0

    (A) Reinforcement schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).
    Figure Legend Snippet: (A) Reinforcement schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).

    Techniques Used: Blocking Assay

    (A) Observed probability of investing by reputation (trustee type) in Studies 1–3; (B) Predicted likelihood of investing by previous trustee decision and exchange number (previous trustee decision × exchange number), indicating the growing effect of reinforcement as the participant leams (adaptive learning).
    Figure Legend Snippet: (A) Observed probability of investing by reputation (trustee type) in Studies 1–3; (B) Predicted likelihood of investing by previous trustee decision and exchange number (previous trustee decision × exchange number), indicating the growing effect of reinforcement as the participant leams (adaptive learning).

    Techniques Used:



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    reinforcement learning rl models fit behavior  (MathWorks Inc)
    94
    MathWorks Inc reinforcement learning rl models fit behavior
    (A) <t>Reinforcement</t> schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).
    Reinforcement Learning Rl Models Fit Behavior, supplied by MathWorks Inc, used in various techniques. Bioz Stars score: 94/100, based on 1 PubMed citations. ZERO BIAS - scores, article reviews, protocol conditions and more
    https://www.bioz.com/result/reinforcement learning rl models fit behavior/product/MathWorks Inc
    Average 94 stars, based on 1 article reviews
    reinforcement learning rl models fit behavior - by Bioz Stars, 2026-06
    94/100 stars
    		  Buy from Supplier

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    (A) Reinforcement schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).

    Journal: Cognitive, affective & behavioral neuroscience

    Article Title: Neurocomputational mechanisms of adaptive learning in social exchanges

    doi: 10.3758/s13415-019-00697-0

    Figure Lengend Snippet: (A) Reinforcement schedule by trustee and block; (B) Trial design. Counterfactual feedback is presented to participants after “KEEP” decisions (top panel).

    Article Snippet: We used the Variational Bayes Approach (VBA) toolbox implemented in MATLAB ( Daunizeau, Adam, & Rigoux, 2014 ) to test how four reinforcement learning (RL) models fit behavior (likelihood of sharing).

    Techniques: Blocking Assay

    (A) Observed probability of investing by reputation (trustee type) in Studies 1–3; (B) Predicted likelihood of investing by previous trustee decision and exchange number (previous trustee decision × exchange number), indicating the growing effect of reinforcement as the participant leams (adaptive learning).

    Journal: Cognitive, affective & behavioral neuroscience

    Article Title: Neurocomputational mechanisms of adaptive learning in social exchanges

    doi: 10.3758/s13415-019-00697-0

    Figure Lengend Snippet: (A) Observed probability of investing by reputation (trustee type) in Studies 1–3; (B) Predicted likelihood of investing by previous trustee decision and exchange number (previous trustee decision × exchange number), indicating the growing effect of reinforcement as the participant leams (adaptive learning).

    Article Snippet: We used the Variational Bayes Approach (VBA) toolbox implemented in MATLAB ( Daunizeau, Adam, & Rigoux, 2014 ) to test how four reinforcement learning (RL) models fit behavior (likelihood of sharing).

    Techniques: