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Dr. Sanjeev Namjoshi - Active Inference

Machine Learning Street Talk (MLST)

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Understanding Preferred States and Variational Free Energy in Agents

This chapter explores how an agent maintains its preferred states by minimizing variational free energy, relying on surprisal to interpret its environment. It highlights the balance between the agent's actions, sensory data, and behavior dynamics to achieve equilibrium in expected experiences.

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