The classifier judged this item not relevant to AI security, so it is left out of lists, feeds, the API and dataset releases. If that is wrong, report a correction on this page.
InfoResearchPeer-reviewed
Goal-Oriented Dynamic Weight Optimization for Multi-Object Navigation
- Published
- Record updated
Summary
The paper proposes Goal-oriented Dynamic Weight Optimization (GDWO), a method for multi-object navigation in which an agent sequentially locates several targets in an unknown environment. GDWO combines target-specific value loss functions into one optimization framework and adjusts weights by gradient-based updates, normalized by navigation success rates to prioritize harder targets. The authors report improvements on key metrics using the Gibson and Matterport3D datasets, though the source text gives no specific figures.