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» Using Learning in a Control Agent
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IJCGT
2011
112views more  IJCGT 2011»
14 years 10 months ago
Tactical Agent Personality
This paper proposes an automatic model-based approach that enables adaptive decision making in modern virtual games. It builds upon the Integrated MDP and POMDP Learning AgeNT (IM...
Chek Tien Tan, Ho-Lun Cheng
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
16 years 8 days ago
Evolving neural network ensembles for control problems
In neuroevolution, a genetic algorithm is used to evolve a neural network to perform a particular task. The standard approach is to evolve a population over a number of generation...
David Pardoe, Michael S. Ryoo, Risto Miikkulainen
ICRA
2000
IEEE
85views Robotics» more  ICRA 2000»
15 years 11 months ago
Neural Network Controller for Constrained Robot Manipulators
In this paper, a neural network controller for constrained robot manipulators is presented. A feedforward neural network is used to adaptively compensate for the uncertainties in ...
Shenghai Hu, Marcelo H. Ang, Hariharan Krishnan
JURIX
2008
15 years 8 months ago
Argument Based Moderation of Benefit Assessment
: Error rates in the assessment of routine claims for welfare benefits have been found to very high in Netherlands, USA and UK. This is a significant problem both in terms of quali...
Maya Wardeh, Trevor J. M. Bench-Capon, Frans Coene...
IAT
2009
IEEE
16 years 1 months ago
Topology and Memory Effect on Convention Emergence
Abstract—Social conventions are useful self-sustaining protocols for groups to coordinate behavior without a centralized entity enforcing coordination. We perform an in-depth stu...
Daniel Villatoro, Sandip Sen, Jordi Sabater-Mir