80 search results - page 8 / 16 » Feature Discovery in Reinforcement Learning Using Genetic Pr... |
CIG
2005
IEEE
14 years 1 months ago
2005
IEEE
A newly designed game is introduced, which feels like Backgammon, but has a simplified rule set. Unlike earlier attempts at simplifying the game, Nannon maintains enough features a...
GECCO
2010
Springer
13 years 11 months ago
2010
Springer
Shaping functions can be used in multi-task reinforcement learning (RL) to incorporate knowledge from previously experienced tasks to speed up learning on a new task. So far, rese...
PPSN
2004
Springer
14 years 27 days ago
2004
Springer
Genetic Programming (GP) provides evolutionary methods for problems with tree representations. A recent development in Genetic Algorithms (GAs) has led to principled algorithms cal...
KES
2006
Springer
13 years 7 months ago
2006
Springer
Abstract. The aim of this work is to forecast future events in financial data sets, in particular, we focus our attention on situations where positive instances are rare, which fal...
CSREAEEE
2008
13 years 9 months ago
2008
- This paper proposes the use of an interactive web based problem solving application that utilises flowchart based programming and code generation to address the issues faced by n...