Posted On: Apr 01, 2020
Reinforced learning is a type of machine learning that employs a trial and error method to find a solution to the problem. It is used in many software and machines to find the best possible path to get to the solution The agent (i.e) the learning model takes the action to maximize the reward in a particular situation. There is no need for labeled data in this type as the reinforcement agent decides what to do with the data given the task.
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Supervised and unsupervised are the two types of Machine learning algorithms available. In the supervised type, the algorithms are applied to the known labeled data to formulate a model. Labeled data...