Source: wikibot/bellman-equation
= Bellman equation
{wiki=Bellman_equation}
The Bellman equation is a fundamental concept in dynamic programming and reinforcement learning, named after Richard Bellman. It describes the relationship between the value of a decision and the value of future decisions in a given state. The equation provides a recursive way to compute the optimal policy and the value function for a Markov Decision Process (MDP).