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Pilhwa Lee

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#machine learning Preprint Oct 2026

Density-Guided Bootstrap Boundaries for Latent World-Model Reinforcement Learning

This work introduces density-guided bootstrap boundaries, a trajectory-dependent mechanism that adapts the depth of imagined returns using a score-informed relative density proxy and clarifies the theoretical assumptions distinguishing the authors' expansion proxy from exact path likelihoods.

Shashank Gupta, Pilhwa Lee · 0 citations