Evolutionary Algorithms vs. Gradient Descent
Julian discusses the contrast between evolutionary algorithms and gradient descent, highlighting how the former involves hypothesis formation through random changes and pattern matching, akin to a rationalist approach. The conversation delves into the limitations of pure gradient descent search and the connections to classic empiricism.In this clip
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Machine Learning Street Talk (MLST)
#81 JULIAN TOGELIUS, Prof. KEN STANLEY - AGI, Games, Diversity & Creativity [UNPLUGGED]
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