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» Learning Subgoal Sequences for Planning
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AIPS
2011
12 years 9 months ago
Searching for Plans with Carefully Designed Probes
We define a probe to be a single action sequence computed greedily from a given state that either terminates in the goal or fails. We show that by designing these probes carefull...
Nir Lipovetzky, Hector Geffner
ECAL
2007
Springer
13 years 12 months ago
Neuroevolution of Agents Capable of Reactive and Deliberative Behaviours in Novel and Dynamic Environments
Both reactive and deliberative qualities are essential for a good action selection mechanism. We present a model that embodies a hybrid of two very different neural network archit...
Edward Robinson, Timothy Ellis, Alastair Channon
CHI
2000
ACM
13 years 10 months ago
Instructional interventions in computer-based tutoring: differential impact on learning time and accuracy
We can reliably build “second generation” intelligent computer tutors that are approximately half as effective as human tutors. This paper evaluates two interface enhancements...
Albert T. Corbett, Holly J. Trask
ICTAI
2010
IEEE
13 years 3 months ago
Combining Learning Techniques for Classical Planning: Macro-operators and Entanglements
Planning techniques recorded a significant progress during recent years. However, many planning problems remain still hard even for modern planners. One of the most promising appro...
Lukás Chrpa
CLIMA
2010
13 years 7 months ago
An Agent Language with Destructive Assignment and Model-Theoretic Semantics
In this paper we present an agent language that combines agent functionality with an action theory and model-theoretic semantics. The language is based on abductive logic programmi...
Robert A. Kowalski, Fariba Sadri