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This paper proposes STHTD-MP, a behavior-induced Mirror-Prox temporal-difference method for faster off-policy prediction in reinforcement learning. It replaces the covariance metric with the behavior-policy Bellman matrix and provides convergence analysis and experimental comparisons.