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» Capture Complexity by Partition
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116
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WSC
2000
15 years 3 months ago
Model abstraction for discrete event systems using neural networks and sensitivity information
STRACTION FOR DISCRETE EVENT SYSTEMS USING NEURAL NETWORKS AND SENSITIVITY INFORMATION Christos G. Panayiotou Christos G. Cassandras Department of Manufacturing Engineering Boston ...
Christos G. Panayiotou, Christos G. Cassandras, We...
IJCAI
1989
15 years 3 months ago
On the Declarative Semantics of Inheritance Networks
Usually, semantics of inheritance networks is specified indirectly through a translation into one of the standard logical formalisms. Since such translation involves an algorithmi...
Krishnaprasad Thirunarayan, Michael Kifer, David S...
153
Voted
UAI
2007
15 years 3 months ago
"I Can Name that Bayesian Network in Two Matrixes!"
The traditional approach to building Bayesian networks is to build the graphical structure using a graphical editor and then add probabilities using a separate spreadsheet for eac...
Russell Almond
136
Voted
ATAL
2010
Springer
15 years 3 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
116
Voted
ATAL
2010
Springer
15 years 3 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...