In Reinforcement Learning, what equation expresses the value of a state as the expected immediate reward plus the discounted value of the next state?

Bellman equation

Named after Richard Bellman, this equation is fundamental to dynamic programming and reinforcement learning. It provides a recursive definition for value functions, allowing for the iterative computation of optimal policies.