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» Lower Bounds for Dynamic Algorithms
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STOC
2005
ACM
130views Algorithms» more  STOC 2005»
15 years 9 months ago
From a static impossibility to an adaptive lower bound: the complexity of early deciding set agreement
Set agreement, where processors decisions constitute a set of outputs, is notoriously harder to analyze than consensus where the decisions are restricted to a single output. This ...
Eli Gafni, Rachid Guerraoui, Bastian Pochon
CP
2001
Springer
15 years 2 months ago
A General Scheme for Multiple Lower Bound Computation in Constraint Optimization
Abstract. Computing lower bounds to the best-cost extension of a tuple is an ubiquous task in constraint optimization. A particular case of special interest is the computation of l...
Rina Dechter, Kalev Kask, Javier Larrosa
76
Voted
SARA
2007
Springer
15 years 3 months ago
Computing and Using Lower and Upper Bounds for Action Elimination in MDP Planning
Abstract. We describe a way to improve the performance of MDP planners by modifying them to use lower and upper bounds to eliminate non-optimal actions during their search. First, ...
Ugur Kuter, Jiaqiao Hu
NIPS
2008
14 years 11 months ago
Biasing Approximate Dynamic Programming with a Lower Discount Factor
Most algorithms for solving Markov decision processes rely on a discount factor, which ensures their convergence. It is generally assumed that using an artificially low discount f...
Marek Petrik, Bruno Scherrer
EOR
2008
75views more  EOR 2008»
14 years 9 months ago
Soft car sequencing with colors: Lower bounds and optimality proofs
This paper is a study of the car sequencing problem, when feature spacing constraints are soft and colors of vehicles are taken into account. Both pseudo-polynomial algorithms and ...
Thierry Benoist