The Uncertainty-Aware Navigation World Model (UA-NWM), an efficient latent world model for aerial image-goal navigation, which formulates trajectory scoring as conditional out-of-distribution detection and decomposes the prediction--goal discrepancy into uncertainty-explainable and unexplainable components.
Deyi Zhu, Hao-Yu Fan, Yinan Zhu et al.· 2 citations
This work proposes an agent-based active exploration framework that enables robots to dynamically interact with the environment rather than merely execute predefined instructions, and introduces a fine-grained perception-execution interleaving strategy, which tightly couples visual feedback with skill execution to impr...
Shi-Lin Ma, Chu-Bin Zhang, Xu-Long Bai et al.· 0 citations
Variance Recovery Policy Optimization (VRPO) is introduced, which retains and progressively expands groups to recover informative signals from prompts that are difficult yet solvable and retains and progressively expands these groups to recover informative signals from prompts that are difficult yet solvable.
Jingqi Tian, Haoji Zhang, Lin Chen et al.· 0 citations
We use cookies to run the site and, with your consent, for analytics and to show ads.
See our Cookie Policy.