Learning Counterfactual World Models for Embodied Reasoning under Partial Observability
World models promise a general route to embodied intelligence: learn predictive dynamics once, then reason, plan, and act with them. Increasingly, the representations beneath such models are pretrained on large-scale video, interaction, and multimodal corpora, which raises a question prediction quality alone cannot ans...
Todd Y. Zhou, Daniella Zhang
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