A policy function is a decision-making rule that outlines the optimal action to take in a given state of a system, particularly in dynamic programming and reinforcement learning contexts. This function is crucial as it dictates the choices that maximize expected rewards over time, directly linking to the principle of optimality and the Bellman equation. It helps in formulating strategies that guide agents in making informed decisions based on their current state.
congrats on reading the definition of Policy Function. now let's actually learn it.