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» Learning the required number of agents for complex tasks
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ATAL
2003
Springer
14 years 1 months ago
Concurrent layered learning
Hierarchies are powerful tools for decomposing complex control tasks into manageable subtasks. Several hierarchical approaches have been proposed for creating agents that can exec...
Shimon Whiteson, Peter Stone
GECCO
2007
Springer
213views Optimization» more  GECCO 2007»
14 years 1 months ago
Genetically programmed learning classifier system description and results
An agent population can be evolved in a complex environment to perform various tasks and optimize its job performance using Learning Classifier System (LCS) technology. Due to the...
Gregory Anthony Harrison, Eric W. Worden
AINA
2007
IEEE
14 years 2 months ago
OWL-Based Context-Dependent Task Modeling and Deducing
In the near future, homes are envisioned to be equipped with numerous intelligent communicating devices. Such smart home needs to exhibit highly adaptive behavior to meet the inha...
Hongbo Ni, Xingshe Zhou, Zhiwen Yu, Kejian Miao
ECRTS
1998
IEEE
14 years 1 days ago
Using exact feasibility tests for allocating real-time tasks in multiprocessor systems
This paper introduces improvements in partitioning schemes for multiprocessor real-time systems which allow higher processor utilization and enhanced schedulability by using exact...
Sergio Saez, Joan Vila i Carbó, Alfons Cres...
ATAL
2006
Springer
13 years 11 months ago
Continuous refinement of agent resource estimates
The challenge we address is to reason about projected resource usage within a hierarchical task execution framework in order to improve agent effectiveness. Specifically, we seek ...
David N. Morley, Karen L. Myers, Neil Yorke-Smith