25 search results - page 4 / 5 » A formal framework for robot learning and control under mode... |
IJCAI
2001
13 years 7 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
AIPS
2009
13 years 7 months ago
2009
Recent research in robot exploration and mapping has focused on sampling environmental hotspot fields. This exploration task is formalized by Low, Dolan, and Khosla (2008) in a se...
CA
1999
IEEE
13 years 10 months ago
1999
IEEE
This paper presents a simple and efficient method of modeling synthetic vision, memory, and learning for autonomous animated characters in real-time virtual environments. The mode...
ACIVS
2007
Springer
14 years 4 days ago
2007
Springer
This paper presents a monocular vision framework enabling feature-oriented appearance-based navigation in large outdoor environments containing other moving objects. The framework ...
IJRR
2002
13 years 5 months ago
2002
This paper investigates safe and efficient map-building strategies for a mobile robot with imperfect control and sensing. In the implementation, a robot equipped with a range sens...