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» Using Learning in a Control Agent
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118
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IJCGT
2011
112views more  IJCGT 2011»
14 years 6 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
136
Voted
GECCO
2005
Springer
153views Optimization» more  GECCO 2005»
15 years 8 months 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 7 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
124
Voted
JURIX
2008
15 years 4 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...
121
Voted
IAT
2009
IEEE
15 years 9 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