Machine Learning, Markov Decision Process, Reinforcement Learning.
the initial starting state? How will it affect our calculations of probability or how do I create Markov Chains: I’m so glad you asked! We can define this as: u^(n) = uP^(n) Where u is a vector that represents the initial distribution of states, and P is our transition matrix for a Markov chain. We