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ICNC
2005
Springer
15 years 3 months ago
A Game-Theoretic Approach to Competitive Learning in Self-Organizing Maps
Abstract. Self-Organizing Maps (SOM) is a powerful tool for clustering and discovering patterns in data. Competitive learning in the SOM training process focusses on finding a neu...
Joseph P. Herbert, Jingtao Yao
IJCAI
1993
14 years 11 months ago
Learning of Resource Allocation Strategies for Game Playing
Human chess players exhibit a large variation in the amount of time they allocate for each move. Yet, the problem of devising resource allocation strategies for game playing did n...
Shaul Markovitch, Yaron Sella
FLAIRS
2011
14 years 1 months ago
Learning Opponent Strategies through First Order Induction
In a competitive game it is important to identify the opponent’s strategy as quickly and accurately as possible so that an effective response can be staged. In this vain, this p...
Katie Long Genter, Santiago Ontañón,...
ICML
2000
IEEE
15 years 10 months ago
Convergence Problems of General-Sum Multiagent Reinforcement Learning
Stochastic games are a generalization of MDPs to multiple agents, and can be used as a framework for investigating multiagent learning. Hu and Wellman (1998) recently proposed a m...
Michael H. Bowling
ICPR
2006
IEEE
15 years 11 months ago
Classification of Team Behaviors in Sports Video Games
This paper considers the application of pattern recognition techniques in modern computer games. Towards the problem of realizing more life-like behavior for artificial game chara...
Christian Thurau, Thomas Hettenhausen, Christian B...