847 search results - page 93 / 170 » Learning Action Selection Network of Intelligent Agent |
158
Voted
AAAI
2007
15 years 8 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 ...
146
Voted
IWANN
2009
Springer
16 years 21 days 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 ...
167
Voted
IAT
2010
IEEE
15 years 4 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...
143
Voted
AAMAS
2007
Springer
16 years 10 days 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...
162
Voted
AAAI
2000
15 years 7 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 ...