221 search results - page 23 / 45 » Relational Reinforcement Learning for Agents in Worlds with ... |
AROBOTS
2007
13 years 7 months ago
2007
— A central goal of robotics and AI is to be able to deploy an agent to act autonomously in the real world over an extended period of time. To operate in the real world, autonomo...
DAGSTUHL
2007
13 years 9 months ago
2007
The ways in which an agent’s actions affect the world can often be modeled compactly using a set of relational probabilistic planning rules. This paper addresses the problem of ...
ATAL
2003
Springer
14 years 28 days ago
2003
Springer
A collective of agents often needs to maximize a “world utility” function which rates the performance of an entire system, while subject to communication restrictions among th...
TBILLC
2005
Springer
14 years 1 months ago
2005
Springer
Abstract. Applying multi-agent systems in real world scenarios requires several essential research questions to be answered. Agents have to perceive their environment in order to t...
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In e-learning initiatives content creators are usually required to arrange a set of learning resources in order to present them in a comprehensive way to the learner. Course mater...