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QUESTA
2007
117views more  QUESTA 2007»
13 years 7 months ago
Analyzing a degenerate buffer with general inter-arrival and service times in discrete time
We present the queueing analysis of a degenerate buffer having access to a single server. This system cannot realize any given delay, but only values that are an integer multiple ...
Wouter Rogiest, Koenraad Laevens, Joris Walraevens...
ISPW
2009
IEEE
14 years 2 months ago
On the Relative Merits of Software Reuse
Abstract. Using process simulation and AI search methods, we compare software reuse against other possible changes to a project. such as reducing functionality or improving the ski...
Andres S. Orrego, Tim Menzies, Oussama El-Rawas
VALUETOOLS
2006
ACM
176views Hardware» more  VALUETOOLS 2006»
14 years 1 months ago
How to solve large scale deterministic games with mean payoff by policy iteration
Min-max functions are dynamic programming operators of zero-sum deterministic games with finite state and action spaces. The problem of computing the linear growth rate of the or...
Vishesh Dhingra, Stephane Gaubert
SIAMJO
2010
84views more  SIAMJO 2010»
13 years 6 months ago
A Redistributed Proximal Bundle Method for Nonconvex Optimization
Proximal bundle methods have been shown to be highly successful optimization methods for unconstrained convex problems with discontinuous first derivatives. This naturally leads ...
Warren Hare, Claudia A. Sagastizábal
ICML
1996
IEEE
13 years 11 months ago
A Convergent Reinforcement Learning Algorithm in the Continuous Case: The Finite-Element Reinforcement Learning
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
Rémi Munos