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» Learning the required number of agents for complex tasks
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IATA
1998
Springer
13 years 12 months ago
A Dynamic Hierarchy of Intelligent Agents for Network Management
Routing as well as the management of communicationnetworks that support hybrid types of communications requiring quality of service is a very hard problem. We present here a frame...
Christian Frei, Boi Faltings
NEUROSCIENCE
2001
Springer
14 years 5 days ago
Modularity and Specialized Learning: Mapping between Agent Architectures and Brain Organization
This volume is intended to help advance the field of artificial neural networks along the lines of complexity present in animal brains. In particular, we are interested in examin...
Joanna Bryson, Lynn Andrea Stein
IJCAI
2007
13 years 9 months ago
Learning to Count by Think Aloud Imitation
Although necessary, learning to discover new solutions is often long and difficult, even for supposedly simple tasks such as counting. On the other hand, learning by imitation pr...
Laurent Orseau
ATAL
2010
Springer
13 years 8 months ago
Learning multi-agent state space representations
This paper describes an algorithm, called CQ-learning, which learns to adapt the state representation for multi-agent systems in order to coordinate with other agents. We propose ...
Yann-Michaël De Hauwere, Peter Vrancx, Ann No...
TROB
2010
159views more  TROB 2010»
13 years 2 months ago
Task-Specific Generalization of Discrete and Periodic Dynamic Movement Primitives
Abstract--Acquisition of new sensorimotor knowledge by imitation is a promising paradigm for robot learning. To be effective, action learning should not be limited to direct replic...
Ales Ude, Andrej Gams, Tamim Asfour, Jun Morimoto