A. Fleig

Attention Trajectories as a Diagnostic Axis for Deep Reinforcement Learning

A methodological framework for analyzing the learning process through quantitative analysis of saliency maps aggregates saliency information at the object and modality level into hierarchical attention profiles, quantifying how agents allocate attention over time, thereby forming attention trajectories throughout train...