The Bellman Equation is a fundamental recursive relationship in dynamic programming and reinforcement learning that expresses the value of a decision problem at a certain state as the sum of immediate rewards and the discounted future values of subsequent states. It connects the current state of a system to potential future states, providing a way to optimize decision-making over time.
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