Machine Learning, Optimization, Gradient Descent, Reinforcement Learning.
multinoulli variable. Just as our multinoulli variable z was parameterized by a set of probabilites π, we will consider a Bernoulli variable b parameterized by a probability θ. The probability of b=1 is P(b|θ)=θ and the probability of b=0 is one minus that. Let’s begin by defining a list of