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ATAL
2010
Springer
13 years 9 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
MONET
2011
13 years 3 months ago
iDSRT: Integrated Dynamic Soft Real-time Architecture for Critical Infrastructure Data Delivery over WLAN
Critical Infrastructures (CIs) such as the Power Grid play an important role in our lives. Of all important aspects of CIs, real-time data delivery is the most important one becaus...
Hoang Viet Nguyen, Raoul Rivas, Klara Nahrstedt
ATAL
2003
Springer
14 years 1 months ago
Automated derivation of behavior vocabularies for autonomous humanoid motion
In this paper we address the problem of automatically deriving vocabularies of motion modules from human motion data, taking advantage of the underlying spatio-temporal structure ...
Odest Chadwicke Jenkins, Maja J. Mataric
DAC
2001
ACM
14 years 9 months ago
Chaff: Engineering an Efficient SAT Solver
Boolean Satisfiability is probably the most studied of combinatorial optimization/search problems. Significant effort has been devoted to trying to provide practical solutions to ...
Matthew W. Moskewicz, Conor F. Madigan, Ying Zhao,...
AGENTS
1997
Springer
14 years 19 days ago
Synthetic Minds
This paper discusses conditions under which some of the “higher level” mental concepts applicable to human beings might also be applicable to artificial agents. The key idea ...
Aaron Sloman