(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.
Comments