Julien Brosseit

Mind the budget: Accelerating Deep Reinforcement Learning using Early Exit Neural Networks

Early exit neural networks, which adapt computation to input complexity, have proven effective in supervised learning but remain largely unexplored in deep reinforcement learning (DRL). In this paper, we propose the use of Budgeted EXit Actor (BEXA), which is a novel actor-critic architecture that i…