Reinforcement Learning Applications

Sergey and Daniel discuss the potential of reinforcement learning algorithms in various fields, including robotics, medical treatment, and operations research. They explore the benefits of offline training and the ability to extract better policies from previously logged data. The conversation highlights the exciting possibilities and broadening scope of problems that can be tackled using RL techniques.