Ryan Smith ~ Active Inference Insights 013 ~ Wellbeing, Modelling, Precision
Active Inference Insights
Bayesian Forms of Learning in Active Inference Models
The main difference between active inference models and reinforcement learning models lies in the inclusion of Bayesian forms of learning. Active inference models, with Dirichlet distributions, not only update beliefs about expected reward probabilities but also keep track of confidence in those beliefs. This distinction shapes the ability of the models to predict behavior effectively.
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