Reinforcement Learning (RL)
Let's do a recap of supervised, semi-supervised, and unsupervised learning, and set the context for Reinforcement Learning. In Chapter 1, Introduction to Machine Learning, we covered the basic definitions of supervised, semi-supervised, and unsupervised learning. Inductive learning is a reasoning process that uses the results of one experiment to run the next set of experiments and iteratively evolve a model from specific information.
The following figure depicts various subfields of Machine learning. These subfields are one of the ways the Machine learning algorithms are classified:
Supervised learning is all about operating to a known expectation, and in this case, what needs to be analyzed from the data being defined. The input datasets in this context are also referred to as labeled datasets. Algorithms classified under this category focus on establishing a relationship between the input and output attributes and uses this relationship speculatively to...
