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Hierarchical World Models with Implicit Dynamics.

arXiv:2610.42146v1 Announce Type: cross Abstract: Planning with world models enables test-time adaptation for embodied agents, offering superior generalization over direct policy learning. However, long-horizon tasks remain hindered by cumulative errors and se

arXiv cs.AIResearch source·