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Found 4 papers, 0 papers with code
Echoes of Socratic Doubt: Embracing Uncertainty in Calibrated Evidential Reinforcement Learning
We present a novel statistical approach to incorporating uncertainty awareness in model-free distributional reinforcement learning involving quantile regression-based deep Q networks.
Mutual Information-calibrated Conformal Feature Fusion for Uncertainty-Aware Multimodal 3D Object Detection at the Edge
In the expanding landscape of AI-enabled robotics, robust quantification of predictive uncertainties is of great importance.
Lightweight, Uncertainty-Aware Conformalized Visual Odometry
Data-driven visual odometry (VO) is a critical subroutine for autonomous edge robotics, and recent progress in the field has produced highly accurate point predictions in complex environments.
On the Design of Modular Reflecting EM Skins for Enhanced Urban Wireless Coverage
Representative numerical results are reported and discussed to point out the features and the potentialities of the EMS solution in the smart electromagnetic environment (SEME) as well as the effectiveness of the proposed design method.
