2 posts tagged with "reinforcement-learning"

Ezbot is using deep reinforcement learning to transform how user experiences are optimized completely. We will start with the basics of A/B test-based optimization and some problems that arise, like how slow, complex, and costly these programs can be. Then, we'll consider how deep reinforcement learning can solve these problems with higher sample efficiency and agentic decision-making. Finally, we'll follow data through ezbot's data collection, training, and prediction pipeline to explain how ezbot works behind the scenes.

In the relentless pursuit of conversion rate optimization (CRO), A/B testing has long been the reigning champion. It allows you to compare variations of your website elements, from headlines to layouts, and identify the statistically "better" performer. But for all its strengths, A/B testing comes with a soul-crushing enemy: the wait for statistical significance.