Solution:

posed learning problem:

A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in $\mathrm{T}$, as measured by $\mathrm{P}$, improves with experience $\mathrm{E}$.

Three features in learning problems:

• The class of tasks ( T )

• The measure of performance to be improved (P)

• The source of experience (E)

A robot driving learning problem:

• Task T :

  • driving on public four-lane highways using vision sensors.

• Performance measure P:

  • average distance traveled before an error (as judged by human overseer).

• Training experience E:

  • a sequence of images and steering commands recorded while observing a human driver