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ESANN
2006
15 years 8 months ago
Reducing policy degradation in neuro-dynamic programming
We focus on neuro-dynamic programming methods to learn state-action value functions and outline some of the inherent problems to be faced, when performing reinforcement learning in...
Thomas Gabel, Martin Riedmiller
SIGMETRICS
2011
ACM
161views Hardware» more  SIGMETRICS 2011»
14 years 9 months ago
Modeling program resource demand using inherent program characteristics
The workloads in modern Chip-multiprocessors (CMP) are becoming increasingly diversified, creating different resource demands on hardware substrate. It is necessary to allocate h...
Jian Chen, Lizy Kurian John, Dimitris Kaseridis
TCC
2007
Springer
125views Cryptology» more  TCC 2007»
16 years 22 days ago
Evaluating Branching Programs on Encrypted Data
Abstract. We present a public-key encryption scheme with the following properties. Given a branching program P and an encryption c of an input x, it is possible to efficiently com...
Yuval Ishai, Anat Paskin
FSTTCS
2008
Springer
15 years 7 months ago
Analyzing the Implicit Computational Complexity of object-oriented programs
A sup-interpretation is a tool which provides upper bounds on the size of the values computed by the function symbols of a program. Sup-interpretations have shown their interest to...
Jean-Yves Marion, Romain Péchoux
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
16 years 1 months ago
Canonical representation genetic programming
Search spaces sampled by the process of Genetic Programming often consist of programs which can represent a function in many different ways. Thus, when the space is examined it i...
John R. Woodward, Ruibin Bai