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ESANN
2008
15 years 7 months ago
Improvement in Game Agent Control Using State-Action Value Scaling
The aim of this paper is to enhance the performance of a reinforcement learning game agent controller, within a dynamic game environment, through the retention of learned informati...
Leo Galway, Darryl Charles, Michaela M. Black
CADUI
2006
15 years 7 months ago
GestAction3D: A Platform For Studying Displacements And Deformations Of 3D Objects Using Hands
We present a low-cost hand-based device coupled with a 3D motion recovery engine and 3D visualization. This platform aims at studying ergonomic 3D interactions in order to manipula...
Diane Lingrand, Philippe Renevier, Anne-Marie Pinn...
ISVC
2007
Springer
15 years 12 months ago
Learning to Recognize Complex Actions Using Conditional Random Fields
Surveillance systems that operate continuously generate large volumes of data. One such system is described here, continuously tracking and storing observations taken from multiple...
Christopher I. Connolly
AAAI
2007
15 years 8 months ago
Detecting Execution Failures Using Learned Action Models
reason with abstracted models of the behaviours they use to construct plans. When plans are turned into the instructions that drive an executive, the real behaviours interacting w...
Maria Fox, Jonathan Gough, Derek Long
AIIDE
2008
15 years 8 months ago
Agent Learning using Action-Dependent Learning Rates in Computer Role-Playing Games
We introduce the ALeRT (Action-dependent Learning Rates with Trends) algorithm that makes two modifications to the learning rate and one change to the exploration rate of traditio...
Maria Cutumisu, Duane Szafron, Michael H. Bowling,...