3274 search results - page 78 / 655 » Using Learning in a Control Agent |
ATAL
2009
Springer
14 years 2 months ago
2009
Springer
One of the key problems in reinforcement learning is balancing exploration and exploitation. Another is learning and acting in large or even continuous Markov decision processes (...
LAMAS
2005
Springer
14 years 1 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...
ETS
2000
IEEE
13 years 7 months ago
2000
IEEE
Collaborative learning supported through computers seems to be very promising, since advances in computational technology enable the widespread use of tools such as bulletin board...
IV
2003
IEEE
14 years 1 months ago
2003
IEEE
This paper describes a visualisation tool, VlUM, designed to support users in scrutinising models of their interests, preferences and knowledge. We also describe MECUREO, a tool f...
IEAAIE
2009
Springer
14 years 2 months ago
2009
Springer
A computational agent model for monitoring and control of a virtual human agent’s resources and exhaustion is presented. It models a physically grounded intelligent decision maki...