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ICPR
2006
IEEE
15 years 10 months ago
Bayesian Imitation of Human Behavior in Interactive Computer Games
Modern interactive computer games provide the ability to objectively record complex human behavior, offering a variety of interesting challenges to the pattern-recognition communi...
Bernard Gorman, Christian Bauckhage, Christian Thu...
DIS
2009
Springer
14 years 7 months ago
Player Modeling for Intelligent Difficulty Adjustment
In this paper we aim at automatically adjusting the difficulty of computer games by clustering players into different types and supervised prediction of the type from short traces ...
Olana Missura, Thomas Gärtner
CLEIEJ
2010
14 years 7 months ago
Teaching Programming Principles through a Game Engine
Teaching fundamental programming to freshmen is a hard task to be performed, given the high level action and logical reasoning that are required for these students to develop in a...
Cristiane Camilo Hernandez, Luciano Silva, Rafael ...
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UAI
2004
14 years 11 months ago
The Minimum Information Principle for Discriminative Learning
Exponential models of distributions are widely used in machine learning for classification and modelling. It is well known that they can be interpreted as maximum entropy models u...
Amir Globerson, Naftali Tishby
AAAI
2008
14 years 11 months ago
Perpetual Learning for Non-Cooperative Multiple Agents
This paper examines, by argument, the dynamics of sequences of behavioural choices made, when non-cooperative restricted-memory agents learn in partially observable stochastic gam...
Luke Dickens