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ICAS
2006
IEEE
157views Robotics» more  ICAS 2006»
14 years 3 months ago
Adaptive provisioning using virtual machines and autonomous role-based management
A modern server system must deliver a complex set of obligations towards its users. We study the concept of roles as autonomous encapsulations of a set of promises. Using virtuali...
Kyrre M. Begnum, Mark Burgess, John A. Sechrest
ATAL
2007
Springer
14 years 3 months ago
Multiagent learning in adaptive dynamic systems
Classically, an approach to the multiagent policy learning supposed that the agents, via interactions and/or by using preliminary knowledge about the reward functions of all playe...
Andriy Burkov, Brahim Chaib-draa
ATAL
2010
Springer
13 years 10 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 16 days 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
IWANN
1999
Springer
14 years 1 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