Learning Issues

(15th-May-2020)

• The following components are part of any learning problem:

• task:The behavior or task that is being improved

• data: The experiences that are used to improve performance in the task

• measure of improvement

• There are two principles that are at odds in choosing a representation scheme:

1. The richer the representation scheme, the more useful it is for subsequent problems solving. For an agent to learn a way to solve a problem, the representation must be rich enough to express a way to solve the problem.

2. The richer the representation, the more difficult it is to learn. A very rich representation is difficult to learn because it requires a great deal of data, and often many different hypotheses are consistent with the data.