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CORR
2010
Springer
105views Education» more  CORR 2010»
15 years 5 months ago
Optimism in Reinforcement Learning Based on Kullback-Leibler Divergence
We consider model-based reinforcement learning in finite Markov Decision Processes (MDPs), focussing on so-called optimistic strategies. Optimism is usually implemented by carryin...
Sarah Filippi, Olivier Cappé, Aurelien Gari...
CORR
2010
Springer
215views Education» more  CORR 2010»
15 years 5 months ago
Energy Efficient Clustering and Routing in Mobile Wireless Sensor Network
A critical need in Mobile Wireless Sensor Network (MWSN) is to achieve energy efficiency during routing as the sensor nodes have scarce energy resource. The nodes’ mobility in M...
Getsy S. Sara, Kalaiarasi R, Neelavathy Pari S, Sr...
IJRR
2010
162views more  IJRR 2010»
15 years 5 months ago
Planning under Uncertainty for Robotic Tasks with Mixed Observability
Partially observable Markov decision processes (POMDPs) provide a principled, general framework for robot motion planning in uncertain and dynamic environments. They have been app...
Sylvie C. W. Ong, Shao Wei Png, David Hsu, Wee Sun...
PVLDB
2008
107views more  PVLDB 2008»
15 years 5 months ago
Constrained locally weighted clustering
Data clustering is a difficult problem due to the complex and heterogeneous natures of multidimensional data. To improve clustering accuracy, we propose a scheme to capture the lo...
Hao Cheng, Kien A. Hua, Khanh Vu
VLSISP
2008
103views more  VLSISP 2008»
15 years 5 months ago
Power Signature Watermarking of IP Cores for FPGAs
In this paper, we introduce a new method for watermarking of IP cores for FPGA architectures where the signature (watermark) is detected at the power supply pins of the FPGA. This ...
Daniel Ziener, Jürgen Teich
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