arxiv
PublishedMay 11, 2026 at 4:00 AM
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AGWM: Affordance-Grounded World Models for Environments with Compositional Prerequisites
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arXiv:2605.06841v1 Announce Type: new Abstract: In model-based learning, the agent learns behaviors by simulating trajectories based on world model predictions. Standard world models typically learn a stationary transition function that maps states and actions to next states, when an action and an o
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