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» Learning Action Selection Network of Intelligent Agent
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JIRS
2000
144views more  JIRS 2000»
15 years 1 months ago
An Integrated Approach of Learning, Planning, and Execution
Agents (hardware or software) that act autonomously in an environment have to be able to integrate three basic behaviors: planning, execution, and learning. This integration is man...
Ramón García-Martínez, Daniel...
ATAL
2006
Springer
15 years 5 months ago
Teaching new teammates
Knowledge transfer between expert and novice agents is a challenging problem given that the knowledge representation and learning algorithms used by the novice learner can be fund...
Doran Chakraborty, Sandip Sen
DEXA
1998
Springer
112views Database» more  DEXA 1998»
15 years 6 months ago
Optimisation of Active Rule Agents Using a Genetic Algorithm Approach
Intelligent agents and active databases have a number of common characteristics, the most important of which is that they both execute actions by firing rules upon events occurring...
Evaggelos Nonas, Alexandra Poulovassilis
AAAI
2012
13 years 4 months ago
Generalized Monte-Carlo Tree Search Extensions for General Game Playing
General Game Playing (GGP) agents must be capable of playing a wide variety of games skillfully. Monte-Carlo Tree Search (MCTS) has proven an effective reasoning mechanism for thi...
Hilmar Finnsson
AIED
2007
Springer
15 years 8 months ago
Relating Machine Estimates of Students' Learning Goals to Learning Outcomes: A DBN Approach
Students’ actions while working with a tuoring system were used to generate estimates of learning goals, specifically, the goal of learning by using multimedia help resources, an...
Carole R. Beal, Lei Qu