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» Multiagent learning in adaptive dynamic systems
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CDC
2010
IEEE
106views Control Systems» more  CDC 2010»
13 years 4 months ago
Semi-autonomous networks: Network resilience and adaptive trees
This paper examines the dynamics of a networked multi-agent system operating with a consensus-type coordination algorithm that can be influenced by external agents. We refer to thi...
Airlie Chapman, Mehran Mesbahi
CIG
2005
IEEE
14 years 2 months ago
Utile Coordination: Learning Interdependencies Among Cooperative Agents
AbstractWe describe Utile Coordination, an algorithm that allows a multiagent system to learn where and how to coordinate. The method starts with uncoordinated learners and maintai...
Jelle R. Kok, Pieter Jan't Hoen, Bram Bakker, Niko...
ECML
2007
Springer
14 years 28 days ago
Efficient Continuous-Time Reinforcement Learning with Adaptive State Graphs
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Gerhard Neumann, Michael Pfeiffer, Wolfgang Maass
KI
2002
Springer
13 years 8 months ago
Adaptivity through Unobstrusive Learning
In this paper, we present an approach for learning interest profiles implicitly from positive user observations only. This approach eliminates the need to prompt users for ratings...
Ingo Schwab, Alfred Kobsa
CEC
2010
IEEE
13 years 10 months ago
An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification
A key feature in population based optimization algorithms is the ability to explore a search space and make a decision based on multiple solutions. In this paper, an incremental le...
Jean-François Connolly, Eric Granger, Rober...