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(5/n) Our approach is a hybrid: 1) Decision policy = GLM (for interpretation) 2) Learning rule = neural net (flexible) ā we parameterize the weight update function š¤w=f(ā ) using a neural net and fit it by maximizing behavioral likelihood.
2mo
Helena (Yuhan) Liu
