Graph Placement Strategies
Anna and Daniel discuss the challenges of sequential graph placement and how their model mimics human designers by passing images of the placement so far, using an LSTM model for the policy head. The conversation delves into the evolution of their policy head architecture to a deconvolutional neural net for predicting placement decisions on a two-dimensional grid.In this clip
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