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ATAL
2010
Springer
13 years 11 months ago
Distributed multiagent learning with a broadcast adaptive subgradient method
Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
DARS
2000
Springer
173views Robotics» more  DARS 2000»
14 years 1 months ago
On Behavior Classification in Adversarial Environments
In order for robotic systems to be successful in domains with other agents possibly interfering with the accomplishing of goals, the agents must be able to adapt to the opponents&#...
Patrick Riley, Manuela M. Veloso
ADAPTIVE
2007
Springer
14 years 4 months ago
Adaptive Content Presentation for the Web
In this chapter we describe techniques for adaptive presentation of content on the Web. We first describe techniques to select and structure the content deemed to be most relevant ...
Andrea Bunt, Giuseppe Carenini, Cristina Conati
IWANN
1999
Springer
14 years 2 months ago
Using Temporal Neighborhoods to Adapt Function Approximators in Reinforcement Learning
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
R. Matthew Kretchmar, Charles W. Anderson
IEEECIT
2006
IEEE
14 years 4 months ago
ACGs: Adaptive Course Generation System - An Efficient Approach to Build E-Learning Course
Recently, adaptive course generation has been focusing by several researchers. We have built ACGs system to create adaptive courses for each learner based on evaluating demand, ab...
Anh Nguyen Viet, Dam Ho Si