43 search results - page 8 / 9 » Pareto Optimality in Coevolutionary Learning |
GECCO
2008
Springer
13 years 7 months ago
2008
Springer
Bid-based Genetic Programming (GP) provides an elegant mechanism for facilitating cooperative problem decomposition without an a priori specification of the number of team member...
GECCO
2008
Springer
13 years 7 months ago
2008
Springer
In this paper, a multiobjective (MO) learning approach to image feature extraction is described, where Pareto-optimal interest point (IP) detectors are synthesized using genetic p...
GECCO
2008
Springer
13 years 7 months ago
2008
Springer
Selective sampling is a form of active learning which can reduce the cost of training by only drawing informative data points into the training set. This selected training set is ...
ATAL
2006
Springer
13 years 10 months ago
2006
Springer
Learning to converge to an efficient, i.e., Pareto-optimal Nash equilibrium of the repeated game is an open problem in multiagent learning. Our goal is to facilitate the learning ...
ATAL
2007
Springer
14 years 14 days ago
2007
Springer
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...