Use cases of reinforcement learning

The use cases of reinforcement learning are almost as numerous as online learning. It is a less often used technology when compared to standard offline and online models, but with the changes in the machine learning domain over the last years, it is still a great candidate that could become huge in the coming years.

Let's look at some use cases to get a better feel of the types of use cases that can be suitable for reinforcement learning. Among the types of examples, there are some that are more traditional reinforcement learning use cases, and others that are more specific streaming data use cases.

Use case one – trading system

As a first use case of reinforcement learning, let's talk about stock market trading. The stock market use case was already discussed in the forecasting use case of the regression chapter. Reinforcement learning is an alternative solution to it.

In regression, online models are used to build forecasting...