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CI
2005
106views more  CI 2005»
15 years 4 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
ALIFE
2005
15 years 4 months ago
Transient Phenomena in Learning and Evolution: Genetic Assimilation and Genetic Redistribution
Deacon has recently proposed that complexes of genes can be integrated into functional groups as a result of environmental changes that mask and unmask selection pressures. For exa...
Janet Wiles, James Watson, Bradley Tonkes, Terrenc...
AAMAS
2007
Springer
15 years 10 months ago
Bifurcation Analysis of Reinforcement Learning Agents in the Selten's Horse Game
Abstract. The application of reinforcement learning algorithms to multiagent domains may cause complex non-convergent dynamics. The replicator dynamics, commonly used in evolutiona...
Alessandro Lazaric, Jose Enrique Munoz de Cote, Fa...
JCSS
2007
85views more  JCSS 2007»
15 years 4 months ago
A general dimension for query learning
We introduce a combinatorial dimension that characterizes the number of queries needed to exactly (or approximately) learn concept classes in various models. Our general dimension...
José L. Balcázar, Jorge Castro, Davi...
ML
2006
ACM
15 years 4 months ago
Relational IBL in classical music
It is well known that many hard tasks considered in machine learning and data mining can be solved in a rather simple and robust way with an instanceand distance-based approach. In...
Asmir Tobudic, Gerhard Widmer