Abstract: Learning policies in an asynchronous parallel way is essential to numerous successes of reinforcement learning for solving complex problems. However, their convergence has not been ...
GitHub's Policy as Code project is designed to allow users and organizations to configure their Risk threshold for security issues reported by GitHub Advanced Security Platform. The main goal is to ...
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Linear regression gradient descent explained simply
Understand what is Linear Regression Gradient Descent in Machine Learning and how it is used. Linear Regression Gradient Descent is an algorithm we use to minimize the cost function value, so as to ...
Abstract: Linear codes are widely studied in coding theory as they have nice applications in distributed storage, combinatorics, lattices, cryptography and so on. Constructing linear codes with ...
Don't be Dense, SLiCE the Cost! Structured Linear Controlled Differential Equations (SLiCEs) are a new class of sequence models that combine the maximal expressivity (i.e., universality) of dense, ...
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