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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
14 years 2 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
ATAL
2008
Springer
14 years 29 days ago
Switching dynamics of multi-agent learning
This paper presents the dynamics of multi-agent reinforcement learning in multiple state problems. We extend previous work that formally modelled the relation between reinforcemen...
Peter Vrancx, Karl Tuyls, Ronald L. Westra
CIKM
2008
Springer
14 years 28 days ago
Metric-based ontology learning
Ontology learning is an important task in Artificial Intelligence, Semantic Web and Text Mining. This paper presents a novel framework for, and solutions to, three practical probl...
Hui Yang, Jamie Callan
JUCS
2008
129views more  JUCS 2008»
13 years 11 months ago
The Remote Control Approach - An Architecture for Adaptive Scripting across Collaborative Learning Environments
: In this article we present an architecture for the integration of tutoring approaches and process scaffolds into existing collaborative applications. The architecture allows to c...
Andreas Harrer, Nils Malzahn, Astrid Wichmann
CORR
2002
Springer
82views Education» more  CORR 2002»
13 years 10 months ago
Using eigenvectors of the bigram graph to infer morpheme identity
This paper describes the results of some experiments exploring statistical methods to infer syntactic categories from a raw corpus in an unsupervised fashion. It shares certain po...
Mikhail Belkin, John A. Goldsmith