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Understanding the idea behind Q-Learning

Reinforcement Learning is a subfield of Machine Learning whose tasks differ from ‘standard’ ways of learning. Indeed, rather than being provided with historical data and make predictions or inferences on them, you want your reinforcement algorithm to learn, from scratch, from the surrounding environment. Basically, you want it to behave as you would have done in a similar situation (if you want to learn more about the structure of RL, click here to read my former article).

There are many scenarios where Reinforcement Learning offers a more suitable solution…

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Valentina Alto

Cloud Specialist at @Microsoft | MSc in Data Science | Machine Learning, Statistics and Running enthusiast