250 search results - page 1 / 50 » Learning action effects in partially observable domains |
ECAI
2010
Springer
13 years 10 months ago
2010
Springer
We investigate the problem of learning action effects in partially observable STRIPS planning domains. Our approach is based on a voted kernel perceptron learning model, where act...
AAAI
2006
13 years 10 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...
AAAI
2006
13 years 10 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...
JAIR
2008
13 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...
AIPS
2006
13 years 10 months ago
2006
We present a decision making algorithm for agents that act in partially observable domains which they do not know fully. Making intelligent choices in such domains is very difficu...