4 search results - page 1 / 1 » Agent Learning in Relational Domains based on Logical MDPs w... |
JCP
2008
13 years 4 months ago
2008
In this paper, we propose a model named Logical Markov Decision Processes with Negation for Relational Reinforcement Learning for applying Reinforcement Learning algorithms on the ...
KESAMSTA
2009
Springer
13 years 11 months ago
2009
Springer
Abstract. Imitative learning can be considered an essential task of humans development. People use instructions and demonstrations provided by other human experts to acquire knowle...
ILP
2007
Springer
13 years 10 months ago
2007
Springer
A recurrent question in the design of intelligent agents is how to assign degrees of beliefs, or subjective probabilities, to various events in a relational environment. In the sta...
CORR
2010
Springer
13 years 1 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...