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NIPS
1998
15 years 8 months ago
Gradient Descent for General Reinforcement Learning
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
Leemon C. Baird III, Andrew W. Moore
CEC
2005
IEEE
16 years 6 days ago
A study on polynomial regression and Gaussian process global surrogate model in hierarchical surrogate-assisted evolutionary alg
This paper presents a study on Hierarchical Surrogate-Assisted Evolutionary Algorithm (HSAEA) using different global surrogate models for solving computationally expensive optimiza...
Zongzhao Zhou, Yew-Soon Ong, My Hanh Nguyen, Dudy ...
GECCO
2006
Springer
142views Optimization» more  GECCO 2006»
15 years 10 months ago
An evolutionary approach to camera-based projector calibration
In this paper, we describe a GA to solve for the orientation and lens characteristics of a projector, given images of a dome screen illuminated by the projector. We use synthetic ...
Clayton Matthew Johnson, Anu Bhat, William C. Thib...
152
Voted
GECCO
2007
Springer
166views Optimization» more  GECCO 2007»
16 years 22 days ago
Scalable estimation-of-distribution program evolution
I present a new estimation-of-distribution approach to program evolution where distributions are not estimated over the entire space of programs. Rather, a novel representationbui...
Moshe Looks
GECCO
2007
Springer
209views Optimization» more  GECCO 2007»
16 years 22 days ago
Guided hyperplane evolutionary algorithm
A new evolutionary technique for multicriteria optimization called Guiding Hyper-plane Evolutionary Algorithm (GHEA) is proposed. The originality of the approach consists in the f...
Corina Rotar, D. Dumitrescu, Rodica Ioana Lung