ezbot's Deep Reinforcement Learning is a new paradigm for UX optimization
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.