This is the third types of machine learning algorithms, it is used in advanced real-life machine learning gaming projects.
Here we will learn short description about reinforcement machine learning algorithm which is given below:
How it works: Using this algorithm, the machine is trained to make specific decisions. It works this way: the machine is exposed to an environment where it trains itself continually using trial and error. This machine learns from past experience and tries to capture the best possible knowledge to make accurate business decisions.
Example of Reinforcement Learning:
Markov Decision Process,
We hope you can understand the concept of reinforcement machine learning algorithm with this short description.
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