84 search results - page 9 / 17 » Integrating Reinforcement Learning, Bidding and Genetic Algo... |
IJON
2006
13 years 9 months ago
2006
A classifier system is a machine learning system that learns syntactically simple string rules (called classifiers) through a genetic algorithm to guide its performance in an arbi...
GECCO
2010
Springer
13 years 10 months ago
2010
Springer
This paper presents an integrated approach, combining a state-of-the-art commercial object detection system and genetic algorithms (GA)-based learning for automatic object classif...
GECCO
2010
Springer
14 years 11 days 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...
ATAL
2007
Springer
14 years 3 months ago
2007
Springer
Reinforcement learning promises a generic method for adapting agents to arbitrary tasks in arbitrary stochastic environments, but applying it to new real-world problems remains di...
AUSAI
2008
Springer
13 years 11 months ago
2008
Springer
Learning Classifier System (LCS) is an effective tool to solve classification problems. Clustering with XCS (accuracy-based LCS) is a novel approach proposed recently. In this pape...