This article covers backpropagation in detail and why it is used to train neural networks. Later, we cover how it is implemented practically in machine learning frameworks using Automatic Differentiation.
Understand the mathematical foundations and practical applications of optimizing policies directly through gradients, exploring episodic and continuous environments. The piece offers theoretical insights and proofs, illuminating complex concepts like the policy gradient theorem and function approximation.
Find the paper here. Paper Gist:The paper introduces Integrated Understanding System(IUS) as an effort to make better language understanding models.
In this post, I talk about Peter Voss’s paper. I first read about Peter’s theory of mind approach in Chapter