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Reinforcement learning(RL) Simplified

In this blog, I will be covering the below taxonomy of Reinforcement learning. It is easy to visualize and memorize the complete concept in a single mindmap. This is how I learn and hope you all find it easy to understand and apply..

Let’s recap different learning methods before we go deep into Reinforcement learning. The figure below depicts various subfields of Machine learning. These subfields are one of ways the machine learning algorithms are classified.

Supervised learning: Supervised learning is all about operating to a known expectation and in this case, what needs to be analysed from the data being defined. The input datasets in this context are also referred to as “labelled” datasets. Algorithms classified under this category focus on establishing a relationship between t