Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning

Oron Anschel, Nir Baram, Nahum Shimkin

Abstract: Instability and variability of Deep Reinforcement Learning (DRL) algorithms tend to adversely affect their performance. Averaged-DQN is a simple extension to the DQN algorithm, based on averaging p...