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» Learning Qualitative Models of Dynamic Systems
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ICML
2006
IEEE
16 years 3 months ago
Kernel Predictive Linear Gaussian models for nonlinear stochastic dynamical systems
The recent Predictive Linear Gaussian model (or PLG) improves upon traditional linear dynamical system models by using a predictive representation of state, which makes consistent...
David Wingate, Satinder P. Singh
91
Voted
ICALT
2008
IEEE
15 years 9 months ago
Expertise Measure for Dynamic Task Selection within Intelligent Educational Systems
This paper presents a task selection model for personalised educational instruction. The proposed model is based on the student expertise level and it takes into account performan...
François Courtemanche, Mehdi Najjar, Andr&e...
ATAL
2003
Springer
15 years 7 months ago
A selection-mutation model for q-learning in multi-agent systems
Although well understood in the single-agent framework, the use of traditional reinforcement learning (RL) algorithms in multi-agent systems (MAS) is not always justified. The fe...
Karl Tuyls, Katja Verbeeck, Tom Lenaerts
ECSQARU
2005
Springer
15 years 8 months ago
Generating Fuzzy Models from Deep Knowledge: Robustness and Interpretability Issues
The most problematic and challenging issues in fuzzy modeling of nonlinear system dynamics deal with robustness and interpretability. Traditional data-driven approaches, especially...
Raffaella Guglielmann, Liliana Ironi
113
Voted
ENVSOFT
2006
104views more  ENVSOFT 2006»
15 years 2 months ago
Landscape analysis and simulation shell (Lass)
We present a set of models for simulating vegetation dynamics in disturbance-prone ecosystems with different complexity levels, integrated in a modelling environment for generatin...
Juli G. Pausas, Juan I. Ramos