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» Adapting SME Learning Environments for Adaptivity
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AGENTS
2000
Springer
13 years 11 months ago
Adaptivity in agent-based routing for data networks
Adaptivity, both of the individual agents and of the interaction structure among the agents, seems indispensable for scaling up multi-agent systems MAS's in noisy environme...
David Wolpert, Sergey Kirshner, Christopher J. Mer...
ARCS
2005
Springer
14 years 29 days ago
Adaptive Object Acquisition
We propose an active vision system for object acquisition. The core of our approach is a reinforcement learning module which learns a strategy to scan an object. The agent moves a...
Gabriele Peters, Claus-Peter Alberts, Markus Bries...
ICML
2007
IEEE
14 years 8 months ago
On the role of tracking in stationary environments
It is often thought that learning algorithms that track the best solution, as opposed to converging to it, are important only on nonstationary problems. We present three results s...
Richard S. Sutton, Anna Koop, David Silver
ICPR
2008
IEEE
14 years 8 months ago
Incremental learning in non-stationary environments with concept drift using a multiple classifier based approach
We outline an incremental learning algorithm designed for nonstationary environments where the underlying data distribution changes over time. With each dataset drawn from a new e...
Matthew T. Karnick, Michael Muhlbaier, Robi Polika...
PERCOM
2008
ACM
13 years 7 months ago
An Infrastructure for Developing Pervasive Learning Environments
This paper presents an infrastructure for developing problem-based pervasive learning environments. Building such environments necessitates having many autonomous components deali...
Sabine Graf, Kathryn MacCallum, Tzu-Chien Liu, Mai...