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» Terminating Decision Algorithms Optimally
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ISICA
2007
Springer
15 years 9 months ago
A New Evolutionary Decision Theory for Many-Objective Optimization Problems
In this paper the authors point out that the Pareto Optimality is unfair, unreasonable and imperfect for Many-objective Optimization Problems (MOPs) underlying the hypothesis that ...
Zhuo Kang, Lishan Kang, Xiufen Zou, Minzhong Liu, ...
CORR
2006
Springer
140views Education» more  CORR 2006»
15 years 2 months ago
Nearly optimal exploration-exploitation decision thresholds
While in general trading off exploration and exploitation in reinforcement learning is hard, under some formulations relatively simple solutions exist. Optimal decision thresholds ...
Christos Dimitrakakis
CORR
2011
Springer
183views Education» more  CORR 2011»
14 years 10 months ago
Mean-Variance Optimization in Markov Decision Processes
We consider finite horizon Markov decision processes under performance measures that involve both the mean and the variance of the cumulative reward. We show that either randomiz...
Shie Mannor, John N. Tsitsiklis
120
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VLC
2011
83views more  VLC 2011»
14 years 9 months ago
A decision procedure for a decidable fragment of generalized constraint diagrams
Constraint diagrams were introduced by Kent, in 1997, as an alternative to the OCL for placing formal constraints on software models. Since their introduction, constraint diagrams...
Jim Burton, Gem Stapleton, Ali Hamie
CP
2007
Springer
15 years 9 months ago
AND/OR Multi-valued Decision Diagrams for Constraint Optimization
We propose a new top down search-based algorithm for compiling AND/OR Multi-Valued Decision Diagrams (AOMDDs), as representations of the optimal set of solutions for constraint opt...
Robert Mateescu, Radu Marinescu 0002, Rina Dechter