Sigmoid

This page covers the calculus you need for the preliminary assessment: derivatives of common functions, the chain rule, and how they appear in logistic regression and policy gradients. Back to Preliminary. Why this matters for RL Policy gradients and loss-based updates use derivatives and the chain rule. You don’t need to derive everything by hand in practice (autograd does it), but you need to understand what a gradient is and how it’s used. The sigmoid and chain rule appear in logistic policies and in backpropagation. ...