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19min chapter
#67 Prof. KARL FRISTON 2.0
Machine Learning Street Talk (MLST)
Advanced Active Inference in Robotics
This chapter explores the application of active inference within robotics and simulations, highlighting the role of belief structures in decision-making. It examines the incorporation of modern deep learning techniques to enhance performance in complex dynamic systems. Additionally, the discussion addresses the evolving programming languages in academia and the mathematical underpinnings of the free energy principle in relation to machine learning and dynamic behaviors.
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