IEEE

RL-Agent-based Early-Exit DNN Architecture Search Framework

Abstract: This paper introduces a Reinforcement Learning (RL)-based framework for optimizing early-exit configurations in Deep Neural Networks (DNNs). By integrating RL with BranchyNet-inspired ...