Deep Reinforcement Learning

DRL is for solving the problems in:

Optimal control

Decision making

Technology Overview

Deep Reinforcement Learning (DRL) is becoming the forefront and hottest branch of Artificial Intelligence today. Unlike Computer Vision, DRL mainly solves decision-making and optimal control problems, and is considered to be the core technology of future Artificial Intelligence.

Some of the applications using DRL:

- It improves the accuracy of Computer Vision;
- It is used to design/select the best neural network structure;
- It is used in autonomous systems such as autonomous driving and robot learning;
- It is used for optimizing financial transaction systems and city management systems;
- It is used for optimizing manufacturing processes.