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» Learning behavior styles with inverse reinforcement learning
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JMLR
2008
141views more  JMLR 2008»
13 years 7 months ago
Accelerated Neural Evolution through Cooperatively Coevolved Synapses
Many complex control problems require sophisticated solutions that are not amenable to traditional controller design. Not only is it difficult to model real world systems, but oft...
Faustino J. Gomez, Jürgen Schmidhuber, Risto ...
ICALT
2003
IEEE
14 years 1 months ago
Adaptive Exploration of Assessment Results under Uncertainty
In the context of Intelligent Learning Environments (ILE), adaptivity plays a key role. In order to achieve adaptive behavior an ILE should have a rich representation of the learn...
Dimitris Lamboudis, Anastasios A. Economides, Anas...
ICDM
2007
IEEE
132views Data Mining» more  ICDM 2007»
14 years 2 months ago
Learning What Makes a Society Tick
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
Hung-Ching Chen, Mark K. Goldberg, Malik Magdon-Is...
BC
2008
134views more  BC 2008»
13 years 7 months ago
Interacting with an artificial partner: modeling the role of emotional aspects
In this paper we introduce a simple model based on probabilistic finite state automata to describe an emotional interaction between a robot and a human user, or between simulated a...
Isabella Cattinelli, Massimiliano Goldwurm, N. Alb...
CSEE
2011
Springer
12 years 11 months ago
Pex4Fun: Teaching and learning computer science via social gaming
Pex4Fun (http://www.pexforfun.com/)from Microsoft Research is a web-based serious gaming environment for teaching computer science. Pex4Fun can be used to teach and learn computer...
Nikolai Tillmann, Jonathan de Halleux, Tao Xie