Data Science
Reinforcement Learning
June 08, 2017 Marko Mihin

Reinforcement learning is an area of machine learning inspired by behaviorist psychology. It allows machines and software agents to automatically determine the ideal behavior within a specific context by experimenting and observing the outcome.
In this video, we will explain you what reinforcement learning is and give you some examples.

If you are a marketer, it's important to note that reinforcement learning can also be used in marketing: one of the examples is using it for optimizing mailings over multiple channels and campaigns, to maximize the effect on the profits in store channel. There are still many challenges for reinforcement learning, but deep reinforcement learning agents also demonstrated remarkable progress on a wide variety of complex tasks so far.

If you are a marketer, it's important to note that reinforcement learning can also be used in marketing: one of the examples is using it for optimizing mailings over multiple channels and campaigns, to maximize the effect on the profits in store channel.

There are still many challenges for reinforcement learning,  but deep reinforcement learning agents also demonstrated remarkable progress on a wide variety of complex tasks so far.

Marko Mihin
Marketer