experience

Ensuring Quality in UAT: Insights and Strategies

On: August 17, 2024

Identifying the Root Cause Our team faced unexpected bugs during the UAT phase despite thorough testing in the previous stages. While frustrating, this occurrence reminded us that UAT often exposes issues missed in earlier testing phases. It’s vital to thoroughly investigate the underlying causes of such bugs to enhance ourContinue Reading

Deep Q-learning(DQN) – Experience Replay

On: July 19, 2019

In: AI, Deep Machine Learning, Reinforcement Learning

To perform experience replay we store the agent’s experiences et=(st,at,rt,st+1) Then we use a random sample of these prior actions instead of the most recent action to proceed. * This removes correlations in the observation sequence and smooths changes in the data distribution. * Iterative update adjusts Q towards targetContinue Reading