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AAAI
1998
13 years 11 months ago
Tree Based Discretization for Continuous State Space Reinforcement Learning
Reinforcement learning is an effective technique for learning action policies in discrete stochastic environments, but its efficiency can decay exponentially with the size of the ...
William T. B. Uther, Manuela M. Veloso
WSC
2000
13 years 11 months ago
Modeling reality with simulation games for a cooperative learning
In this work we want to show the importance of visualization, interfaces and re-design techniques through 3D modeling, animations and VRML in the developing of the simulation game...
João Rafael Galvão, Paulo Garcia Mar...
WSC
2000
13 years 11 months ago
Interactive Web-based animations for teaching and learning
Web-based study resources can be viewed as a basic requirement in order to remain a competitive player on a more and more globalised educational market. For that reason it is gett...
Michael Syrjakow, Jörg Berdux, Helena Szczerb...
WSC
1997
13 years 11 months ago
Forecasting Investment Opportunities Through Dynamic Simulation
Outcomes of this modeling research are the ability to facilitate comparisons of investment alternatives or strategies; regarding primary targets, possible annual revenues, promoti...
Stephen R. Parker
IJVR
2008
140views more  IJVR 2008»
13 years 9 months ago
Modelling Autonomous Virtual Agent Behaviours in a Virtual Environment for Risk
Our research deals with the design of a training system to support decision-making in the preparation and the management of maintenance interventions in high-risk industries namely...
Lydie Edward, Domitile Lourdeaux, Jean-Paul A. Bar...