10 search results - page 2 / 2 » Learning complex action models with quantifiers and logical ... |
ILP
2007
Springer
13 years 11 months ago
2007
Springer
Abstract. Many reinforcement learning domains are highly relational. While traditional temporal-difference methods can be applied to these domains, they are limited in their capaci...
IJCAI
2003
13 years 6 months ago
2003
Refinement operators for theories avoid the problems related to the myopia of many relational learning algorithms based on the operators that refine single clauses. However, the n...
UAI
2008
13 years 7 months ago
2008
We consider the problem of efficiently learning optimal control policies and value functions over large state spaces in an online setting in which estimates must be available afte...
CCECE
2006
IEEE
13 years 11 months ago
2006
IEEE
Presenting information to an e-learning environment is a challenge, mostly, because ofthe hypertextlhypermedia nature and the richness ofthe context and information provides. This...
CORR
2010
Springer
13 years 2 months ago
2010
Springer
This report outlines the use of a relational representation in a Multi-Agent domain to model the behaviour of the whole system. A desired property in this systems is the ability of...