847 search results - page 93 / 170 » Learning Action Selection Network of Intelligent Agent |
129
Voted
AAAI
2007
15 years 5 months ago
2007
Sparsity-promoting L1-regularization has recently been succesfully used to learn the structure of undirected graphical models. In this paper, we apply this technique to learn the ...
119
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IWANN
2009
Springer
15 years 10 months ago
2009
Springer
This paper presents a multiagent architecture that facilitates active learning in educational environments for dependents. The multiagent architecture incorporates agents that can ...
135
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IAT
2010
IEEE
15 years 1 months ago
2010
IEEE
Abstract--The paper proposes a biologically-inspired cognitive agent model, known as FALCON-X, based on an integration of the Adaptive Control of Thought (ACT-R) architecture and a...
116
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AAMAS
2007
Springer
15 years 9 months ago
2007
Springer
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
127
Voted
AAAI
2000
15 years 4 months ago
2000
Reinforcement learning (RL) can be impractical for many high dimensional problems because of the computational cost of doing stochastic search in large state spaces. We propose a ...