Reinforcement Learning, Machine Learning, Policy, Data Science, Artificial Intelligence.
iterative policy evaluation algorithm: Randomly initialise v-values for all environment states (except for terminal states whose v-values must be equal to 0). Iteratively update all non-terminal states by using the Bellman equation. Repeat step 2 until the difference between previous and current