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» Using Learning in a Control Agent
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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
EXPERT
2010
109views more  EXPERT 2010»
13 years 5 months ago
Satellite Control Using Rational Agent Programming
Louise A. Dennis, Michael Fisher, Alexei Lisitsa, ...
CCIA
2006
Springer
13 years 11 months ago
Learning from cooperation using justifications
In multi-agent systems, individual problem solving capabilities can be improved thanks to the interaction with other agents. In the classification problem solving task each agent i...
Eloi Puertas, Eva Armengol
IAT
2005
IEEE
14 years 1 months ago
Self-Organizing Cognitive Agents and Reinforcement Learning in Multi-Agent Environment
This paper presents a self-organizing cognitive architecture, known as TD-FALCON, that learns to function through its interaction with the environment. TD-FALCON learns the value ...
Ah-Hwee Tan, Dan Xiao
SAC
2005
ACM
14 years 1 months ago
Reinforcement learning agents with primary knowledge designed by analytic hierarchy process
This paper presents a novel model of reinforcement learning agents. A feature of our learning agent model is to integrate analytic hierarchy process (AHP) into a standard reinforc...
Kengo Katayama, Takahiro Koshiishi, Hiroyuki Narih...