Machine Learning - DISCo

could involve creating board positions designed to explore particular regions
of the state space.
Together, the design choices we made for our checkers program produce
specific instantiations for the performance system, critic; generalizer, and experiment
generator. Many machine learning systems can-be usefully characterized in
terms of these four generic modules.
The sequence of design choices made for the checkers program is summarized
in Figure 1.2. These design choices have constrained the learning task in a
number of ways. We have restricted the type of knowledge that can be acquired
to a single linear evaluation function. Furthermore, we have constrained this evaluation
function to depend on only the six specific board features provided. If the
true target function V can indeed be represented by a linear combination of these
Determine Type
of Training Experience
1
Determine
Target Function
I
I
I
Determine Representation
of Learned Function
Linear function
of six features
/ \
Determine
Learning Algorithm
I
Artificial neural
network
...
FIGURE 1.2
Sununary of choices in designing the checkers learning program.