Adaptive Bilevel Search
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A Fragmentation-Aware Adaptive Bilevel Search Framework for Service Mapping in Computing Power Networks
arXiv:2507.07535v2 Announce Type: replace Abstract: Computing Power Network (CPN) unifies wide-area computing resources through coordinated network control, while cloud-native abstractions enable flexible resource orchestration and on-demand service provisioning atop the elastic infrastructure CPN provides. However, current approaches fall short of fully integrating computing resources via network-enabled coordination as envisioned by CPN. In particular, optimally mapping services to an...
Neuro-Symbolic Learning for Long-Horizon Task Planning Under Complex Logical Constraints
Announce Type: new Abstract: Task planning often suffers from severe efficiency bottlenecks when robots must reason over long-horizon action sequences under complex logical constraints, including object affordances, spatial relationships, and sequential action dependencies. Recent neuro-symbolic methods improve planning efficiency by learning object-importance scores to prune task-irrelevant objects, but they typically rely on fixed offline supervision generated from full search spaces. This...