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JAIR
2010
131views more  JAIR 2010»
13 years 7 months ago
Automatic Induction of Bellman-Error Features for Probabilistic Planning
Domain-specific features are important in representing problem structure throughout machine learning and decision-theoretic planning. In planning, once state features are provide...
Jia-Hong Wu, Robert Givan
MST
2010
98views more  MST 2010»
13 years 7 months ago
Why Almost All k-Colorable Graphs Are Easy to Color
Coloring a k-colorable graph using k colors (k ≥ 3) is a notoriously hard problem. Considering average case analysis allows for better results. In this work we consider the unif...
Amin Coja-Oghlan, Michael Krivelevich, Dan Vilench...
NN
2010
Springer
125views Neural Networks» more  NN 2010»
13 years 7 months ago
Parameter-exploring policy gradients
We present a model-free reinforcement learning method for partially observable Markov decision problems. Our method estimates a likelihood gradient by sampling directly in paramet...
Frank Sehnke, Christian Osendorfer, Thomas Rü...
TKDE
2010
151views more  TKDE 2010»
13 years 7 months ago
Dictionary-Based Compression for Long Time-Series Similarity
—Long time-series datasets are common in many domains, especially scientific domains. Applications in these fields often require comparing trajectories using similarity measure...
Willis Lang, Michael D. Morse, Jignesh M. Patel
TPDS
2010
142views more  TPDS 2010»
13 years 7 months ago
Toward Optimal Network Fault Correction in Externally Managed Overlay Networks
—We consider an end-to-end approach of inferring probabilistic data-forwarding failures in an externally managed overlay network, where overlay nodes are independently operated b...
Patrick P. C. Lee, Vishal Misra, Dan Rubenstein