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NIPS
2003
15 years 2 months ago
Extending Q-Learning to General Adaptive Multi-Agent Systems
Recent multi-agent extensions of Q-Learning require knowledge of other agents’ payoffs and Q-functions, and assume game-theoretic play at all times by all other agents. This pap...
Gerald Tesauro
JSCIC
2006
81views more  JSCIC 2006»
15 years 1 months ago
An Improvement of a Recent Eulerian Method for Solving PDEs on General Geometries
We improve upon a method introduced in (Bertalmio et. al. JCP 2001) for solving evolution PDEs on codimension-one surfaces in RN. As in the original method, by representing the su...
John B. Greer
SIAMSC
2008
147views more  SIAMSC 2008»
15 years 1 months ago
Global and Finite Termination of a Two-Phase Augmented Lagrangian Filter Method for General Quadratic Programs
We present a two-phase algorithm for solving large-scale quadratic programs (QPs). In the first phase, gradient-projection iterations approximately minimize an augmented Lagrangian...
Michael P. Friedlander, Sven Leyffer
ML
2007
ACM
104views Machine Learning» more  ML 2007»
15 years 28 days ago
A general criterion and an algorithmic framework for learning in multi-agent systems
We offer a new formal criterion for agent-centric learning in multi-agent systems, that is, learning that maximizes one’s rewards in the presence of other agents who might also...
Rob Powers, Yoav Shoham, Thuc Vu
STTT
2008
117views more  STTT 2008»
15 years 1 months ago
An approach to quality engineering of TTCN-3 test specifications
Abstract Experience with the development and maintenance of large test suites specified using the Testing and Test Control Notation (TTCN-3) has shown that it is difficult to const...
Helmut Neukirchen, Benjamin Zeiss, Jens Grabowski