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Ryan Smith ~ Active Inference Insights 013 ~ Wellbeing, Modelling, Precision

Active Inference Insights

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Active Inference vs. Reinforcement Learning

Active inference agents aim to minimize divergence from a target distribution rather than maximize reward, unlike in reinforcement learning. This difference has interesting implications and suggests a different approach to decision-making.

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