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» Learning the required number of agents for complex tasks
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DAWAK
2010
Springer
13 years 8 months ago
Modelling Complex Data by Learning Which Variable to Construct
Abstract. This paper addresses a task of variable selection which consists in choosing a subset of variables that is sufficient to predict the target label well. Here instead of tr...
Françoise Fessant, Aurélie Le Cam, M...
IAT
2007
IEEE
14 years 2 months ago
An Application of Automated Negotiation to Distributed Task Allocation
Through automated negotiation we aim to improve task allocation in a distributed sensor network. In particular, we look at a type of adaptive weather-sensing radar that permits th...
Michael Krainin, Bo An, Victor R. Lesser
AAAI
2008
13 years 10 months ago
The PELA Architecture: Integrating Planning and Learning to Improve Execution
Building architectures for autonomous rational behavior requires the integration of several AI components, such as planning, learning and execution monitoring. In most cases, the ...
Sergio Jiménez, Fernando Fernández, ...
ECAI
2010
Springer
13 years 8 months ago
Optimal Task Migration in Service-Oriented Systems: Algorithms and Mechanisms
In service-oriented systems, such as grids and clouds, users are able to outsource complex computational tasks by procuring resources on demand from remote service providers. As th...
Sebastian Stein, Enrico Gerding, Nicholas R. Jenni...
AIIA
2007
Springer
14 years 1 months ago
Reinforcement Learning in Complex Environments Through Multiple Adaptive Partitions
The application of Reinforcement Learning (RL) algorithms to learn tasks for robots is often limited by the large dimension of the state space, which may make prohibitive its appli...
Andrea Bonarini, Alessandro Lazaric, Marcello Rest...