Event
Paper on ID-WM Hierarchical World Model Released
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Gaoyue Zhou and other authors released a paper on arXiv proposing the ID-WM hierarchical world model: the high-level model samples feasible transitions on the state manifold, and the low-level world model acts as an inverse dynamics solver, grounding transitions into precise actions, thereby decoupling state reachability from local control. The authors claim that on three navigation and manipulation test sets, ID-WM improves by 38.5% over existing policies and diffusion planners; compared with single-layer world model MPC, it improves by 135% in complex, unseen long-horizon configurations. These results are all as stated in the paper and await independent verification.
Report timeline
- ID-WM: A Hierarchical World Model Decoupling State Reachability from Local Control
The authors propose ID-WM (Implicit Dynamics World Models), a hierarchical world model in which a high-level model samples feasible transitions on the state manifold and a low-level world model acts as an inverse dynamics solver to ground those transitions into precise actions. On three navigation and manipulation test suites, it improves over existing policies and diffusion planners by 38.5%, and by 135% over single-layer world model MPC in complex unseen long-horizon configurations.
arXiv cs.RO ·
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