Density-guided bootstrap boundaries for latent world-model reinforcement learning
Read the original at arxiv.org→arXiv:2610.41022v1 Announce Type: new Abstract: Latent world models allow reinforcement learning agents to learn policies from imagined trajectories, yet determining the optimal depth of model reliance remains a...
Original headline: "Density-Guided Bootstrap Boundaries for Latent World-Model Reinforcement Learning"
Coverage timeline
- Nov 2, 05:00 UTC arXiv cs.LG lead source Density-Guided Bootstrap Boundaries for Latent World-Model Reinforcement Learning