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ATAL
2008
Springer
13 years 9 months ago
Controlling deliberation in a Markov decision process-based agent
Meta-level control manages the allocation of limited resources to deliberative actions. This paper discusses efforts in adding meta-level control capabilities to a Markov Decision...
George Alexander, Anita Raja, David J. Musliner
CORR
2010
Springer
127views Education» more  CORR 2010»
13 years 7 months ago
Mean field for Markov Decision Processes: from Discrete to Continuous Optimization
We study the convergence of Markov Decision Processes made of a large number of objects to optimization problems on ordinary differential equations (ODE). We show that the optimal...
Nicolas Gast, Bruno Gaujal, Jean-Yves Le Boudec
IJAHUC
2007
111views more  IJAHUC 2007»
13 years 7 months ago
Configuring node status in a two-phase tightly integrated mode for wireless sensor networks
: In wireless sensor networks, one of the main design challenges is to save severely constrained energy resources and obtain a long system lifetime. Low cost of sensors enables us ...
Di Tian, Zhijun Lei, Nicolas D. Georganas
PAAPP
2002
76views more  PAAPP 2002»
13 years 7 months ago
Performance of PDE solvers on a self-optimizing NUMA architecture
Abstract. The performance of shared-memory (OpenMP) implementations of three different PDE solver kernels representing finite difference methods, finite volume methods, and spectra...
Sverker Holmgren, Markus Nordén, Jarmo Rant...
HIPC
2009
Springer
13 years 5 months ago
A performance prediction model for the CUDA GPGPU platform
The significant growth in computational power of modern Graphics Processing Units(GPUs) coupled with the advent of general purpose programming environments like NVIDA's CUDA,...
Kishore Kothapalli, Rishabh Mukherjee, M. Suhail R...