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ESANN
2008
15 years 8 months ago
Similarities and differences between policy gradient methods and evolution strategies
Natural policy gradient methods and the covariance matrix adaptation evolution strategy, two variable metric methods proposed for solving reinforcement learning tasks, are contrast...
Verena Heidrich-Meisner, Christian Igel
NN
2006
Springer
108views Neural Networks» more  NN 2006»
15 years 6 months ago
Performance analysis of LVQ algorithms: A statistical physics approach
Learning vector quantization (LVQ) constitutes a powerful and intuitive method for adaptive nearest prototype classification. However, original LVQ has been introduced based on he...
Anarta Ghosh, Michael Biehl, Barbara Hammer

Book
422views
17 years 5 months ago
Intelligence: The Eye, the Brain and the Computer
"This book is intended to be an intellectual journey into the domain of human and machine intelligence". The book covers several topics such as intelligence, knowledge re...
M. A. Fischler, O. Firschein
ICML
1998
IEEE
16 years 7 months ago
An Information-Theoretic Definition of Similarity
Similarity is an important and widely used concept. Previous definitions of similarity are tied to a particular application or a form of knowledge representation. We present an in...
Dekang Lin
IDEAL
2004
Springer
16 years 4 days ago
Policy Gradient Method for Team Markov Games
The main aim of this paper is to extend the single-agent policy gradient method for multiagent domains where all agents share the same utility function. We formulate these team pro...
Ville Könönen