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constrained Markov decision process (CMDP)

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1papers using it
2026first seen

A constrained Markov decision process (CMDP) is a framework that incorporates functional constraints into the decision-making process, allowing for the evaluation of optimization strategies under specific limitations in environments such as federated learning.

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Papers using constrained Markov decision process (CMDP) (1)

constrained Markov decision process (CMDP) dataset — papers, benchmarks & downloads · Federated Learning