Cooperation of categorical and behavioral learning in a practical solution to the abstraction problem

DOI10.1007/BF03037599zbMath0980.68099OpenAlexW1970681342MaRDI QIDQ5945161

Hideaki Takeda, Atsushi Ueno

Publication date: 10 October 2001

Published in: New Generation Computing (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/bf03037599

zbMATH Keywords

reinforcement learninginterleave planningsituation transition network systemstate space segmentation

Mathematics Subject Classification ID

Learning and adaptive systems in artificial intelligence (68T05) Natural language processing (68T50)

Cites Work

• Unnamed Item
• Unnamed Item
• Practical issues in temporal difference learning
• A self-learning automaton with variable resolution for high precision assembly by industrial robots

This page was built for publication: Cooperation of categorical and behavioral learning in a practical solution to the abstraction problem