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ICML
2002
IEEE
16 years 7 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
ALT
2001
Springer
16 years 3 months ago
Learning of Boolean Functions Using Support Vector Machines
This paper concerns the design of a Support Vector Machine (SVM) appropriate for the learning of Boolean functions. This is motivated by the need of a more sophisticated algorithm ...
Ken Sadohara
ECTEL
2009
Springer
16 years 1 months ago
Sharing Distributed Resources in LearnWeb2.0
Abstract. The success of recent Web 2.0 platforms shows that people share information and resources within their social community and beyond. The use of these platforms in an e-lea...
Fabian Abel, Ivana Marenzi, Wolfgang Nejdl, Sergej...
IJCNN
2008
IEEE
16 years 1 months ago
Active Meta-Learning with Uncertainty Sampling and Outlier Detection
Abstract— Meta-Learning has been used to predict the performance of learning algorithms based on descriptive features of the learning problems. Each training example in this cont...
Ricardo Bastos Cavalcante Prudêncio, Teresa ...
AIIA
2007
Springer
16 years 26 days ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...