3 citations · 5 across the 3 of their papers we have counts for
3 papers
cs.LG2024
Interpretable Brain-Inspired Representations Improve RL Performance on Visual Navigation Tasks
Moritz Lange, Raphael C. Engelhardt, Wolfgang Konen +1
Visual navigation requires a whole range of capabilities. A crucial one of these is the ability of an agent to determine its own location and heading in an environment. Prior works…
cs.LG2024★ 2 cited
Classification and Reconstruction Processes in Deep Predictive Coding Networks: Antagonists or Allies?
Jan Rathjens, Laurenz Wiskott
Predictive coding-inspired deep networks for visual computing integrate classification and reconstruction processes in shared intermediate layers. Although synergy between these pr…
cs.AI2017★ 3 cited
Intrinsically Motivated Acquisition of Modular Slow Features for Humanoids in Continuous and Non-Stationary Environments
Varun Raj Kompella, Laurenz Wiskott
A compact information-rich representation of the environment, also called a feature abstraction, can simplify a robot's task of mapping its raw sensory inputs to useful action sequ…