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LION
2010
Springer
190views Optimization» more  LION 2010»
15 years 3 months ago
Algorithm Selection as a Bandit Problem with Unbounded Losses
Abstract. Algorithm selection is typically based on models of algorithm performance learned during a separate offline training sequence, which can be prohibitively expensive. In r...
Matteo Gagliolo, Jürgen Schmidhuber
ATAL
2006
Springer
15 years 3 months ago
Learning against multiple opponents
We address the problem of learning in repeated N-player (as opposed to 2-player) general-sum games. We describe an extension to existing criteria focusing explicitly on such setti...
Thuc Vu, Rob Powers, Yoav Shoham
ICGA
2006
97views Optimization» more  ICGA 2006»
14 years 12 months ago
Computer Analysis of World Chess Champions
Who is the best chess player of all time? Chess players are often interested in this question that has never been answered authoritatively, because it requires comparison between c...
Matej Guid, Ivan Bratko
NPL
2000
105views more  NPL 2000»
14 years 11 months ago
Online Interactive Neuro-evolution
In standard neuro-evolution, a population of networks is evolved in a task, and the network that best solves the task is found. This network is then fixed and used to solve future...
Adrian K. Agogino, Kenneth O. Stanley, Risto Miikk...
MIDDLEWARE
2010
Springer
14 years 10 months ago
Kevlar: A Flexible Infrastructure for Wide-Area Collaborative Applications
Abstract. While Web Services ensure interoperability and extensibility for networked applications, they also complicate the deployment of highly collaborative systems, such as virt...
Qi Huang, Daniel A. Freedman, Ymir Vigfusson, Ken ...