I hope these suggestions will inspire y’all to try new methods.
| Jay : game learning : ideas |
AutoClass
AutoClass is a statistical classification system developed by the
then-Bayesian Learning Group at
NASA Ames.
AutoClass C
is a free implementation, written in ANSI C, with source code included.
AutoClass is an unsupervised learner that discovers categories in data.
In scientific data, it has discovered scientifically interesting
categories. What might it discover in game data? Don’t overlook the value of unsupervised learning!
the Baldwin effect
Applying evolutionary algorithms to neural networks
and other learning systems.
playout analysis
The generalization of backgammon rollout analysis,
playout analysis is a search technique that
concentrates on ultimate consequences.
temporal difference learning with genetic algorithms
Temporal difference learning could provide a genetic algorithm
with more accurate, less noisy fitness values
than game outcome alone.
speed and smarts
What can we learn from Deep Blue about brute force?
The class of brute force methods is a wide and important one.