Consider an n x n Gaussian kernel matrix corresponding to n input points in d dimensions. We show that one In this work, we revisit REINFORCE and investigate if we can leverage other reinforcement learning approaches to improve learning. We formalize training a neural network as a finite-horizon reinforcement learning problem and discuss how this … Continue reading "Paper: Structural Credit Assignment in Neural Networks using Reinforcement Learning"
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