25 search results - page 4 / 5 » On discovery and learning of models with predictive represen... |
DAGSTUHL
2007
13 years 9 months ago
2007
Abstract. In this paper, we consider the problem of filtering in relational hidden Markov models. We present a compact representation for such models and an associated logical par...
ICML
2004
IEEE
14 years 8 months ago
2004
IEEE
This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Part...
JIRS
2000
13 years 7 months ago
2000
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
BICA
2010
13 years 2 months ago
2010
Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
NEUROSCIENCE
2001
Springer
13 years 12 months ago
2001
Springer
We propose a theoretical framework for specification and analysis of a class of learning problems that arise in open-ended environments that contain multiple, distributed, dynamic...