Hi all! I have an aversive learning task, in which participant is watching two stimuli (one at a time). One is associated with shocks (30% of the times) and the other is neve paired with shock. We measure SCR as a way to assess if aversive learning had occurred. Now, I try to build a Bayesian mode…

OK. I have played with the number of trials. Things seem much better now. In 60+ trials the recovery is relatively good. Using the following pymc model with pm.Model() as mB: # betaHyper= pm.Normal('betaH', 0, 1) alpha = pm.Beta('alpha', 1,1, shape=n_subj) beta = pm.Normal('beta',0…

Reinforcement learning - help building a model

Questions

orduek December 13, 2021, 10:25am 9

Nope.
Using stats.norm.logpdf doesn’t improve. Even when I’m around 500 trials.
I guess code error is the reasonable option. I just can’t really find it yet…

Topic		Replies	Views
Modeling reinforcement learning of human participant using PyMC3 Questions	8	3224	June 7, 2023
Fitting a simple Reinforcement Learning model to behavioral data with PyMC (Jupyter NB) Sharing	27	3477	April 28, 2023
Fitting Reinforcement Learning model modeling	0	355	November 4, 2023
Behrens' Bayesian Learner Model : How to share parameters between steps? Questions	44	2313	January 7, 2022
Theano.scan and pm.Model() are strangely incompatible Questions	9	1843	May 21, 2019

Reinforcement learning - help building a model

Related topics