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ECRTS
2003
IEEE
15 years 5 months ago
Using Supertasks to Improve Processor Utilization in Multiprocessor Real-Time Systems
We revisit the problem of supertasking in Pfair-scheduled multiprocessor systems. In this approach, a set of tasks, called component tasks, is assigned to a server task, called a ...
Philip Holman, James H. Anderson
GECCO
2000
Springer
143views Optimization» more  GECCO 2000»
15 years 3 months ago
A Genetic Algorithm for Automatically Designing Modular Reinforcement Learning Agents
Reinforcement learning (RL) is one of the machine learning techniques and has been received much attention as a new self-adaptive controller for various systems. The RL agent auto...
Isao Ono, Tetsuo Nijo, Norihiko Ono
EVOW
2004
Springer
15 years 3 months ago
Multi-objective Sensor Planning for Efficient and Accurate Object Reconstruction
A novel approach for sensor planning, which incorporates multi-objective optimization principals into the autonomous design of sensing strategies, is presented. The study addresses...
Enrique Dunn, Gustavo Olague
ATAL
2003
Springer
15 years 3 months ago
Distributed enactment of multiagent workflows: temporal logic for web service composition
We address the problem of constructing multiagent systems by coordinating heterogeneous, autonomous agents, whose internal designs may not be fully known. A major application area...
Munindar P. Singh
AAAI
2007
15 years 2 months ago
Mapping and Revising Markov Logic Networks for Transfer Learning
Transfer learning addresses the problem of how to leverage knowledge acquired in a source domain to improve the accuracy and speed of learning in a related target domain. This pap...
Lilyana Mihalkova, Tuyen N. Huynh, Raymond J. Moon...