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AUTOMATICA
2011
14 years 5 months ago
Distributed dynamic programming for discrete-time stochastic control, and idempotent algorithms
Previously, idempotent methods have been found to be extremely fast for solution of dynamic programming equations associated with deterministic control problems. The original meth...
William M. McEneaney
GECCO
2005
Springer
189views Optimization» more  GECCO 2005»
15 years 3 months ago
Molecular programming: evolving genetic programs in a test tube
We present a molecular computing algorithm for evolving DNA-encoded genetic programs in a test tube. The use of synthetic DNA molecules combined with biochemical techniques for va...
Byoung-Tak Zhang, Ha-Young Jang
NIPS
2003
14 years 11 months ago
Linear Program Approximations for Factored Continuous-State Markov Decision Processes
Approximate linear programming (ALP) has emerged recently as one of the most promising methods for solving complex factored MDPs with finite state spaces. In this work we show th...
Milos Hauskrecht, Branislav Kveton
JSAC
2006
79views more  JSAC 2006»
14 years 10 months ago
Layered Multicast Rate Control Based on Lagrangian Relaxation and Dynamic Programming
In this paper, we address the rate control problem for layered multicast traffic, with the objective of solving a generalized throughput/fairness objective. Our approach is based o...
Koushik Kar, Leandros Tassiulas
TKDE
2012
245views Formal Methods» more  TKDE 2012»
13 years 15 days ago
Semi-Supervised Maximum Margin Clustering with Pairwise Constraints
—The pairwise constraints specifying whether a pair of samples should be grouped together or not have been successfully incorporated into the conventional clustering methods such...
Hong Zeng, Yiu-ming Cheung