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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