Tuning evaluation functions by maximizing concordance
Theoretical Computer Science - Advances in computer games
Automatic feature extraction for autonomous general game playing agents
Proceedings of the 6th international joint conference on Autonomous agents and multiagent systems
Iterative feature construction for improving inductive learning algorithms
Expert Systems with Applications: An International Journal
Expert Systems with Applications: An International Journal
Machine learning for event selection in high energy physics
Engineering Applications of Artificial Intelligence
Hi-index | 0.00 |
To build an evaluation function for game-playing, one needs to construct informative features that enable accurate relative assessment of a game state. This chapter describes the feature construction problem, and suggests directions for dealing with shortcomings in the present state of the art.