Reinforcement learning (RL) is a branch of machine learning that addresses problems where there is no explicit training data. Q-learning is an algorithm that can be ... from one cell/state to another.

Math is often used as a benchmark for this skill; it’s easy for researchers to define a novel problem, and arriving at a solution ... such as Q-learning, a technique for training AI algorithms ...

This story is from The Algorithm ... indeed what Q* can do. A deeper understanding of mathematics could open up applications to help scientific research and engineering, for example.

by exposing the algorithm to more data. We hear about applications of machine learning on a daily basis, although not all of them are unalloyed successes. Self-driving cars are a good example ...

Very basically, a machine learning algorithm is given a “teaching set” of data, then asked to use that data to answer a question. For example, you might provide a computer a teaching set of ...