Robust dynamic programming is a methodology within dynamic programming that focuses on creating solutions that can withstand uncertainties and variations in model parameters. It aims to optimize decision-making processes by considering worst-case scenarios, ensuring that the obtained solutions remain effective under a variety of potential disturbances or changes in the system. This approach is particularly valuable when facing incomplete information or unpredictable environmental factors.
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