A study of heuristic learning methods for optimization tasks requiring a sequence of decisions.
L. Rowell HuesmannPublished in: AFIPS Spring Joint Computing Conference (1970)
Keyphrases
- empirical studies
- learning process
- multiple tasks
- reinforcement learning
- learning systems
- decision making
- optimization problems
- experimental design
- dynamic programming
- preprocessing
- learning environment
- learning algorithm
- methods require
- secondary school
- university students
- optimization algorithm
- learning tasks
- machine learning algorithms
- learned models
- high school students
- undergraduate students
- multi task
- optimization methods
- human experts
- learning problems
- machine learning methods
- machine learning
- online learning
- decision makers
- supervised learning
- active learning
- genetic algorithm