150 search results - page 10 / 30 » Using multi-agent systems for learning optimal policies for ... |
GECCO
2008
Springer
13 years 8 months ago
2008
Springer
In the early days a policy was a set of simple rules with a clear intuitive motivation that could be formalised to good effect. However the world is becoming much more complex. S...
ATAL
2010
Springer
13 years 8 months ago
2010
Springer
In this paper we study, for the first time explicitly, the implications of endowing an interested party (i.e. a teacher) with the ability to modify the underlying dynamics of the ...
ECRTS
1998
IEEE
13 years 11 months ago
1998
IEEE
This paper introduces improvements in partitioning schemes for multiprocessor real-time systems which allow higher processor utilization and enhanced schedulability by using exact...
FLAIRS
2004
13 years 8 months ago
2004
Robots that can adapt and perform multiple tasks promise to be a powerful tool with many applications. In order to achieve such robots, control systems have to be constructed that...
GECCO
2004
Springer
14 years 23 days ago
2004
Springer
Abstract. Factored Markov Decision Processes is the theoretical framework underlying multi-step Learning Classifier Systems research. This framework is mostly used in the context ...