Sciweavers

1157 search results - page 35 / 232
» Solving iterated functions using genetic programming
Sort
View
138
Voted
CDC
2008
IEEE
206views Control Systems» more  CDC 2008»
15 years 9 months ago
Approximate dynamic programming using support vector regression
— This paper presents a new approximate policy iteration algorithm based on support vector regression (SVR). It provides an overview of commonly used cost approximation architect...
Brett Bethke, Jonathan P. How, Asuman E. Ozdaglar
106
Voted
CEC
2009
IEEE
15 years 7 months ago
Grammar-based genetic programming for timetabling
Abstract— We present a grammar-based genetic programming framework for the solving the timetabling problem via the evolution of constructive heuristics. The grammar used for prod...
Mohamed Bahy El Bader-El-Den, Riccardo Poli
137
Voted
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
15 years 9 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
120
Voted
ICML
1995
IEEE
16 years 3 months ago
Stable Function Approximation in Dynamic Programming
The success ofreinforcement learninginpractical problems depends on the ability to combine function approximation with temporal di erence methods such as value iteration. Experime...
Geoffrey J. Gordon
123
Voted
CEC
2005
IEEE
15 years 8 months ago
CasGP: building cascaded hierarchical models using niching
— A Cascaded model is introduced for mining large datasets using Genetic Programming without recourse to specialist hardware. Such an algorithm satisfies the seeming conflictin...
Peter Lichodzijewski, Malcolm I. Heywood, A. Nur Z...