New paper proposes density-guided bootstrap boundaries for latent world-model RL
An arXiv paper introduces a method for determining the optimal depth of model reliance in reinforcement learning agents that learn policies from imagined trajectories using latent world models.
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- 2026-11-02 05:00 · arXiv cs.LG
Density-Guided Bootstrap Boundaries for Latent World-Model Reinforcement Learning