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ECML
2007
Springer
14 years 22 days 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
ICASSP
2009
IEEE
14 years 20 days ago
Missing data recovery via a nonparametric iterative adaptive approach
We introduce a missing data recovery methodology based on a weighted least squares iterative adaptive approach (IAA). The proposed method is referred to as the missing-data IAA (M...
Petre Stoica, Jian Li, Jun Ling, Yubo Cheng
EGH
2009
Springer
13 years 6 months ago
A directionally adaptive edge anti-aliasing filter
The latest generation of graphics hardware provides direct access to multisample anti-aliasing (MSAA) rendering data. By taking advantage of these existing pixel subsample values,...
Konstantine Iourcha, Jason C. Yang, Andrew Pomiano...
CVPR
2011
IEEE
13 years 17 days ago
Adaptive Random Forest - How many ``experts'' to ask before making a decision?
How many people should you ask if you are not sure about your way? We provide an answer to this question for Random Forest classification. The presented method is based on the st...
Alexander Schwing, Christopher Zach, Yefeng Zheng,...
ICASSP
2011
IEEE
13 years 16 days ago
Parallel computation of adaptive lattice filters
Parallel computation of the adaptive lattice filtering algorithm is difficult due to the dependency problem caused by feedback operations. The conventional control-level paralle...
Dong-hwan Lee, Wonyong Sung