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159
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AOR
2010
15 years 1 months ago
Speeding up Stochastic Dynamic Programming with Zero-Delay Convolution
We show how a technique from signal processing known as zero-delay convolution can be used to develop more efficient dynamic programming algorithms for a broad class of stochastic...
Brian C. Dean
109
Voted
GECCO
2009
Springer
121views Optimization» more  GECCO 2009»
15 years 10 months ago
Evolutionary algorithms and dynamic programming
Recently, it has been proven that evolutionary algorithms produce good results for a wide range of combinatorial optimization problems. Some of the considered problems are tackled...
Benjamin Doerr, Anton Eremeev, Christian Horoba, F...
CDC
2010
IEEE
139views Control Systems» more  CDC 2010»
14 years 10 months ago
Q-learning and enhanced policy iteration in discounted dynamic programming
We consider the classical finite-state discounted Markovian decision problem, and we introduce a new policy iteration-like algorithm for finding the optimal state costs or Q-facto...
Dimitri P. Bertsekas, Huizhen Yu
108
Voted
CEC
2008
IEEE
15 years 10 months ago
On the evolution of laser pulses under a dynamic Quantum Control environment
Abstract— This paper introduces the optimization of a Quantum Control application, the so-called molecular alignment problem, subject to a dynamic environment. Given the relative...
Ofer M. Shir, Thomas Bäck, Herschel Rabitz, M...
121
Voted
SUTC
2006
IEEE
15 years 9 months ago
Self-organization Strategies for Dynamic Context Coverage in Capability-Constrained Mobile Sensor Networks
We propose and formally characterize a new problem named the dynamic context coverage problem in capabilityconstrained mobile sensor network environments. The goal is to move and ...
Shiow-yang Wu, Chao-Hong Liu, Chen-Kuang Tzeng