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ATAL
2006
Springer
13 years 9 months ago
A hierarchical approach to efficient reinforcement learning in deterministic domains
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
PRL
2006
119views more  PRL 2006»
13 years 5 months ago
Exploring the use of latent topical information for statistical Chinese spoken document retrieval
Information retrieval which aims to provide people with easy access to all kinds of information is now becoming more and more emphasized. However, most approaches to information r...
Berlin Chen
ECML
2007
Springer
13 years 9 months ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
ICCAD
2006
IEEE
101views Hardware» more  ICCAD 2006»
14 years 2 months ago
Guaranteeing performance yield in high-level synthesis
Meeting timing constraint is one of the most important issues for modern design automation tools. This situation is exacerbated with the existence of process variation. Current hi...
Wei-Lun Hung, Xiaoxia Wu, Yuan Xie
ECML
2005
Springer
13 years 11 months ago
Annealed Discriminant Analysis
Abstract. Motivated by the analogies to statistical physics, the deterministic annealing (DA) method has successfully been demonstrated in a variety of application. In this paper, ...
Gang Wang, Zhihua Zhang, Frederick H. Lochovsky