Wederivethe precise information-theoretic threshold for exact recovery: above the threshold there exists an estimator that outputs the true correspondence with probability close to1,while belowitnoestimator canrecoverthetrue correspondence with probabilityboundedawayfrom0.

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However, they depend on scarce experimental data or time-consuming docking simulation, leading to overfitting issues with limited training data and slow generation speed.

Note Vt aboveno t term.

A major challenge in reinforcement learning is to determine which state-action pairs are responsible for future rewards that are delayed.