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» The Measurable Space of Stochastic Processes
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LION
2007
Springer
192views Optimization» more  LION 2007»
14 years 5 months ago
Learning While Optimizing an Unknown Fitness Surface
This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Roberto Battiti, Mauro Brunato, Paolo Campigotto
AAAI
2006
14 years 12 days ago
Decision Making in Uncertain Real-World Domains Using DT-Golog
DTGolog, a decision-theoretic agent programming language based on the situation calculus, was proposed to ease some of the computational difficulties associated with Markov Decisi...
Mikhail Soutchanski, Huy Pham, John Mylopoulos
TWC
2008
99views more  TWC 2008»
13 years 11 months ago
Distributed Antenna Systems with Randomness
Abstract--In a cellular distributed antenna system (DAS), distributed antenna elements (AEs) are connected to the base station via an offline dedicated link, e.g. fiber optics or l...
Jun Zhang, Jeffrey G. Andrews
MOC
2002
118views more  MOC 2002»
13 years 10 months ago
The error bounds and tractability of quasi-Monte Carlo algorithms in infinite dimension
Dimensionally unbounded problems are frequently encountered in practice, such as in simulations of stochastic processes, in particle and light transport problems and in the problem...
Fred J. Hickernell, Xiaoqun Wang
JUCS
2010
109views more  JUCS 2010»
13 years 5 months ago
Semantics of Query-Driven Communication of Exact Values
: We address the question of how to communicate among distributed processes values such as real numbers, continuous functions and geometrical solids with arbitrary precision, yet e...
Michal Konecný, Amin Farjudian