TitleLearning Sequential Decision Rules Using Simulation Models and Competition
Publication TypeJournal Article
Year of Publication1990
AuthorsGrefenstette, JJ, Ramsey, CL, Schultz, AC
JournalMachine Learning
Volume5
Pagination355-381
Abstract

The problem of learning decision rules for sequential tasks is addressed, focusing on the problem of learning tactical decision rules from a simple flight simulator. The learning method relies on the notion of competition and employs genetic algorithms to search the space of decision policies. Several experiments are presented that address issues arising from differences between the simulation model on which learning occurs and the target environment on which the decision rules are ultimately tested.

Full Text
NRL Publication Release Number: 
13-1231-3165
pub_tags: 
machine learning
genetic algorithms