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IJCAI
1993
13 years 6 months ago
Anytime Sensing Planning and Action: A Practical Model for Robot Control
Anytime algorithms, whose quality of results improves gradually as computation time increases, provide useful performance components for timecritical planning and control of robot...
Shlomo Zilberstein, Stuart J. Russell
CONNECTION
2008
178views more  CONNECTION 2008»
13 years 5 months ago
Spoken language interaction with model uncertainty: an adaptive human-robot interaction system
Spoken language is one of the most intuitive forms of interaction between humans and agents. Unfortunately, agents that interact with people using natural language often experienc...
Finale Doshi, Nicholas Roy
ATAL
2006
Springer
13 years 9 months ago
Action awareness: enabling agents to optimize, transform, and coordinate plans
As agent systems are solving more and more complex tasks in increasingly challenging domains, the systems themselves are becoming more complex too, often compromising their adapti...
Freek Stulp, Michael Beetz
WWW
2008
ACM
14 years 6 months ago
Exploiting semantic web technologies to model web form interactions
Form mapping is the key problem that needs to be solved in order to get access to the hidden web. Currently available solutions for fully automatic mapping are not ready for comme...
Bernhard Krüpl, Robert Baumgartner, Wolfgang ...
ATAL
2010
Springer
13 years 6 months ago
Closing the learning-planning loop with predictive state representations
A central problem in artificial intelligence is to choose actions to maximize reward in a partially observable, uncertain environment. To do so, we must learn an accurate model of ...
Byron Boots, Sajid M. Siddiqi, Geoffrey J. Gordon