While artificial intelligence appears contemporary, its mathematical underpinnings trace back to 1952, when Richard Bellman introduced groundbreaking research titled "On the Theory of Dynamic Programming" [6, 7], establishing the bedrock for optimal control and contemporary reinforcement learning.
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