Core Knowledge Optimization
Lancelot and Tim discuss the importance of encoding core knowledge as priors in active inference models to streamline the search for world models. They delve into how innate core knowledge, like object permanence, can significantly reduce the complexity of structured learning problems in machine learning.In this clip
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Machine Learning Street Talk (MLST)
MULTI AGENT LEARNING - LANCELOT DA COSTA
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