2017
Averaged-DQN: Variance Reduction and Stabilization for Deep Reinforcement Learning
ICML 2017poster
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 previously learned Q-values estimates, which leads to a more stable training procedure and improved perf…