250 search results - page 15 / 50 » Learning action effects in partially observable domains |
73
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WWW
2007
ACM
15 years 10 months ago
2007
ACM
Workers in organizations frequently request help from assistants by sending request messages that express information intent: an intention to update data in an information system....
NIPS
2004
14 years 11 months ago
2004
Schema learning is a way to discover probabilistic, constructivist, predictive action models (schemas) from experience. It includes methods for finding and using hidden state to m...
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ACL
2007
14 years 11 months ago
2007
When a word sense disambiguation (WSD) system is trained on one domain but applied to a different domain, a drop in accuracy is frequently observed. This highlights the importance...
AAAI
2010
14 years 11 months ago
2010
Methods for discovering causal knowledge from observational data have been a persistent topic of AI research for several decades. Essentially all of this work focuses on knowledge...
ATAL
2009
Springer
15 years 4 months ago
2009
Springer
In several agent-oriented scenarios in the real world, an autonomous agent that is situated in an unknown environment must learn through a process of trial and error to take actio...