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» Implicit Training of Virtual Agents
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IDEAL
2000
Springer
14 years 1 months ago
Observational Learning with Modular Networks
Observational learning algorithm is an ensemble algorithm where each network is initially trained with a bootstrapped data set and virtual data are generated from the ensemble for ...
Hyunjung Shin, Hyoungjoo Lee, Sungzoon Cho
CA
2002
IEEE
14 years 2 months ago
Representing and Parameterizing Agent Behaviors
The last few years have seen great maturation in understanding how to use computer graphics technology to portray 3D embodied characters or virtual humans. Unlike the off-line, an...
Norman I. Badler, Jan M. Allbeck, Liwei Zhao, Meer...
AAAI
2010
13 years 11 months ago
A Bayesian Nonparametric Approach to Modeling Mobility Patterns
Constructing models of mobile agents can be difficult without domain-specific knowledge. Parametric models flexible enough to capture all mobility patterns that an expert believes...
Joshua Mason Joseph, Finale Doshi-Velez, Nicholas ...
CIA
1999
Springer
14 years 2 months ago
A Similarity Evaluation Technique for Cooperative Problem Solving with a Group of Agents
Abstract. Evaluations of distances or similarity measurements are very important in cooperative problem solving with multiple agents. Distance between problems is used by agents to...
Seppo Puuronen, Vagan Y. Terziyan
IJVR
2008
118views more  IJVR 2008»
13 years 9 months ago
HERA: Learner Tracking in a Virtual Environment
The main goals of using simulations and Virtual Environments for Training/Learning (VET/L) are to avoid risks and unwanted consequences, to reduce training costs, and to promote tr...
Kahina Amokrane, Domitile Lourdeaux, Jean-Marie Bu...