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ATAL
2005
Springer
15 years 8 months ago
Automatic computer game balancing: a reinforcement learning approach
Designing agents whose behavior challenges human players adequately is a key issue in computer games development. This work presents a novel technique, based on reinforcement lear...
Gustavo Andrade, Geber Ramalho, Hugo Santana, Vinc...
140
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ICCV
2001
IEEE
16 years 4 months ago
Learning Image Statistics for Bayesian Tracking
This paper describes a framework for learning probabilistic models of objects and scenes and for exploiting these models for tracking complex, deformable, or articulated objects i...
Hedvig Sidenbladh, Michael J. Black
ATAL
2006
Springer
15 years 4 months ago
Selecting informative actions improves cooperative multiagent learning
In concurrent cooperative multiagent learning, each agent simultaneously learns to improve the overall performance of the team, with no direct control over the actions chosen by i...
Liviu Panait, Sean Luke
CCGRID
2010
IEEE
15 years 3 months ago
Decentralized Resource Availability Prediction for a Desktop Grid
In a desktop grid model, the job (computational task) is submitted for execution in the resource only when the resource is idle. There is no guarantee that the job which has starte...
Karthick Ramachandran, Hanan Lutfiyya, Mark Perry
CLOUDCOM
2010
Springer
15 years 13 days ago
A Token-Based Access Control System for RDF Data in the Clouds
The Semantic Web is gaining immense popularity-and with it, the Resource Description Framework (RDF) broadly used to model Semantic Web content. However, access control on RDF sto...
Arindam Khaled, Mohammad Farhan Husain, Latifur Kh...