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IJCAI
2007
15 years 5 months ago
An Experts Algorithm for Transfer Learning
A long-lived agent continually faces new tasks in its environment. Such an agent may be able to use knowledge learned in solving earlier tasks to produce candidate policies for it...
Erik Talvitie, Satinder Singh
IRMA
2000
15 years 5 months ago
Recognizing bounds of context change in on-line learning
The on-line algorithms in machine learning are intended to discover unknown function of the domain based on incremental observing of it instance by instance. These algorithms have...
Helen Kaikova, Vagan Y. Terziyan, Borys Omelayenko
ISCC
2000
IEEE
106views Communications» more  ISCC 2000»
15 years 8 months ago
Packet Scheduling Based on Learning in the Next Generation Internet Architectures
With multimedia applications, the Internet traffic increased a lot in volume, but also suffered major alterations in its nature, requesting other network services besides the curr...
Alencar de Melo Jr., Juan Manuel Adán Coell...
AI
2001
Springer
15 years 8 months ago
Learning about Constraints by Reflection
A system's constraints characterizes what that system can do. However, a dynamic environment may require that a system alter its constraints. If feedback about a specific situ...
J. William Murdock, Ashok K. Goel
CEC
2008
IEEE
15 years 11 months ago
Neuro-evolving maintain-station behavior for realistically simulated boats
— We evolve a neural network controller for a boat that learns to maintain a given bearing and range with respect to a moving target in the Lagoon 3D game environment. Simulating...
Nathan A. Penrod, David Carr, Sushil J. Louis, Bob...