3274 search results - page 90 / 655 » Using Learning in a Control Agent |
AIIDE
2006
13 years 9 months ago
2006
Reinforcement learning is an effective machine learning paradigm in domains represented by compact and discrete state-action spaces. In high-dimensional and continuous domains, ti...
ATAL
2008
Springer
13 years 10 months ago
2008
Springer
Physical agents (such as wheeled vehicles, UAVs, hovercraft, etc.) with simple control systems are often sensitive to changes in their physical design and control parameters. As s...
IJCNN
2007
IEEE
14 years 2 months ago
2007
IEEE
Learning by human tutelage means that a human being guides the attention of a robot or agent in order to teach it a given concept. This kind of learning is very important to devel...
EATIS
2009
ACM
13 years 11 months ago
2009
ACM
In this paper, we describe our work in developing an agent based smart house platform using TAOM4E development methodology and the JADE-platform with the Jadex-extension. In order...
IJCAI
2001
13 years 9 months ago
2001
This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...