243 search results - page 24 / 49 » Learning Abstraction Hierarchies for Problem Solving |
ITS
2000
Springer
14 years 7 days ago
2000
Springer
Abstract. We discuss the design of an agent for coaching collaborative learning in a distance learning context. The learning domain is entity-relationship modeling, a domain in whi...
PRICAI
2004
Springer
14 years 2 months ago
2004
Springer
When we have a large amount of information, we usually use categories with a hierarchy, in which all information is assigned. This paper proposes a new method of integrating two ca...
LAMAS
2005
Springer
14 years 2 months ago
2005
Springer
In this paper we report on using a relational state space in multi-agent reinforcement learning. There is growing evidence in the Reinforcement Learning research community that a r...
IROS
2006
IEEE
14 years 2 months ago
2006
IEEE
— Navigation is one of the fundamental tasks for a mobile robot. The majority of path planning approaches has been designed to entirely solve the given problem from scratch given...
ICRA
2009
IEEE
14 years 3 months ago
2009
IEEE
Abstract— Least-squares policy iteration is a useful reinforcement learning method in robotics due to its computational efficiency. However, it tends to be sensitive to outliers...