Reinforcement Learning for the Multitasking Multitasker

So, you want to learn about Reinforcement Learning?

What is it, then?

Reinforcement Learning is a type of Machine Learning where an agent learns to make decisions by taking actions in an environment and receiving rewards or penalties for those actions.

How is it different from other types of Machine Learning?

Unlike Supervised Learning, where an agent is taught to make decisions based on examples of desired outcomes, Reinforcement Learning is all about trial and error, with the agent learning from its own experiences.

Examples of Reinforcement Learning in Action

Use Cases for Reinforcement Learning