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How Well Do Latent World Models Understand Partially Observable Safety Constraints?
Latent world models are a promising approach for learning state representations and dynamics directly from high-dimensional observations, enabling robot control in hard-to-model settings. However, control performance ultimately depends on the latent representation encoding the required information f
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