Artificial Intelligence, Reinforcement Learning, Machine Learning, Neural Networks, Markov Chains.
reach the same state transition probability towards the upcoming state, S(t+1). State transition probabilities are basically probability distributions across any potential successor states, given the current state. That looks like something like this. For all the math people (hello 👋), this theorem