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Dr. Sanjeev Namjoshi - Active Inference

Machine Learning Street Talk (MLST)

CHAPTER

Imitation Learning and Active Inference

This chapter explores the intricacies of imitation learning and its philosophical ties to behaviorism, analyzing how social interactions shape behaviors like greetings. It delves into the principles of active inference and free energy, discussing their implications for cognition and machine learning, particularly in relation to decision-making and adaptation. The conversation further distinguishes between reinforcement learning and active inference, emphasizing the role of curiosity in navigating uncertain environments.

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