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TEC
2012
197views Formal Methods» more  TEC 2012»
11 years 10 months ago
Improving Generalization Performance in Co-Evolutionary Learning
Recently, the generalization framework in co-evolutionary learning has been theoretically formulated and demonstrated in the context of game-playing. Generalization performance of...
Siang Yew Chong, Peter Tino, Day Chyi Ku, Xin Yao
IJCAI
2001
13 years 9 months ago
R-MAX - A General Polynomial Time Algorithm for Near-Optimal Reinforcement Learning
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
Ronen I. Brafman, Moshe Tennenholtz
IJCAI
2007
13 years 9 months ago
Analogical Learning in a Turn-Based Strategy Game
A key problem in playing strategy games is learning how to allocate resources effectively. This can be a difficult task for machine learning when the connections between actions a...
Thomas R. Hinrichs, Kenneth D. Forbus
DASFAA
2008
IEEE
120views Database» more  DASFAA 2008»
14 years 2 months ago
Knowledge Transferring Via Implicit Link Analysis
In this paper, we design a local classification algorithm using implicit link analysis, considering the situation that the labeled and unlabeled data are drawn from two different ...
Xiao Ling, Wenyuan Dai, Gui-Rong Xue, Yong Yu
JKM
2007
213views more  JKM 2007»
13 years 7 months ago
A systems-based dynamic knowledge transfer capacity model
Purpose – The purpose of this paper is twofold: to understand how recent developments in systems thinking and social construction can influence understanding of knowledge trans...
Robert Parent, Mario Roy, Denis St-Jacques