252 search results - page 1 / 51 » Learning Partially Observable Action Models: Efficient Algor... |
AAAI
2006
14 years 11 months ago
2006
We present tractable, exact algorithms for learning actions' effects and preconditions in partially observable domains. Our algorithms maintain a propositional logical repres...
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AAAI
2006
14 years 11 months ago
2006
We present an algorithm that derives actions' effects and preconditions in partially observable, relational domains. Our algorithm has two unique features: an expressive rela...
118
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JAIR
2008
14 years 9 months ago
2008
We present exact algorithms for identifying deterministic-actions' effects and preconditions in dynamic partially observable domains. They apply when one does not know the ac...
ICMLA
2008
14 years 11 months ago
2008
Learning by imitation has shown to be a powerful paradigm for automated learning in autonomous robots. This paper presents a general framework of learning by imitation for stochas...
ICML
2010
IEEE
14 years 7 months ago
2010
IEEE
We provide a novel view of learning an approximate model of a partially observable environment from data and present a simple implemenf the idea. The learned model abstracts away ...