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CI
2005
106views more  CI 2005»
14 years 10 months ago
Incremental Learning of Procedural Planning Knowledge in Challenging Environments
Autonomous agents that learn about their environment can be divided into two broad classes. One class of existing learners, reinforcement learners, typically employ weak learning ...
Douglas J. Pearson, John E. Laird
ICML
2008
IEEE
15 years 11 months ago
Non-parametric policy gradients: a unified treatment of propositional and relational domains
Policy gradient approaches are a powerful instrument for learning how to interact with the environment. Existing approaches have focused on propositional and continuous domains on...
Kristian Kersting, Kurt Driessens
ICML
2006
IEEE
15 years 11 months ago
On Bayesian bounds
We show that several important Bayesian bounds studied in machine learning, both in the batch as well as the online setting, arise by an application of a simple compression lemma....
Arindam Banerjee
KES
2007
Springer
15 years 4 months ago
A Hybrid Symbolic-Statistical Approach to Modeling Metabolic Networks
Biological systems consist of many components and interactions between them. In Systems Biology the principal problem is modeling complex biological systems and reconstructing inte...
Marenglen Biba, Stefano Ferilli, Nicola Di Mauro, ...
NIME
2004
Springer
122views Music» more  NIME 2004»
15 years 4 months ago
Digital Instruments and Players: Part I - Efficiency and Apprenticeship
When envisaging new digital instruments, designers do not have to limit themselves to their sonic capabilities (which can be absolutely any), not even to their algorithmic power; ...
Sergi Jordà