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IJCAI
2003
13 years 9 months ago
Finite Domain Constraint Solver Learning
paper, we present an abstract framework for learning a finite domain constraint solver modeled by a set of operators enforcing a consistency. The behavior of the consistency to be...
Arnaud Lallouet, Thi-Bich-Hanh Dao, Andrei Legtche...
IJCAI
2001
13 years 9 months ago
Rational and Convergent Learning in Stochastic Games
This paper investigates the problem of policy learning in multiagent environments using the stochastic game framework, which we briefly overview. We introduce two properties as de...
Michael H. Bowling, Manuela M. Veloso
AAAI
2006
13 years 9 months ago
On the Difficulty of Achieving Equilibrium in Interactive POMDPs
We analyze the asymptotic behavior of agents engaged in an infinite horizon partially observable stochastic game as formalized by the interactive POMDP framework. We show that whe...
Prashant Doshi, Piotr J. Gmytrasiewicz
SIAMJO
2000
67views more  SIAMJO 2000»
13 years 7 months ago
Gradient Convergence in Gradient methods with Errors
We consider the gradient method xt+1 = xt + t(st + wt), where st is a descent direction of a function f : n and wt is a deterministic or stochastic error. We assume that f is Lip...
Dimitri P. Bertsekas, John N. Tsitsiklis
EPEW
2008
Springer
13 years 9 months ago
State-Aware Performance Analysis with eXtended Stochastic Probes
We define a mechanism for specifying performance queries which combine instantaneous observations of model states and finite sequences of observations of model activities. We reali...
Allan Clark, Stephen Gilmore