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» Lower Bounds for Dynamic Algorithms
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STOC
2005
ACM
130views Algorithms» more  STOC 2005»
15 years 12 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 4 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
88
Voted
SARA
2007
Springer
15 years 5 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
94
Voted
NIPS
2008
15 years 1 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
106
Voted
EOR
2008
75views more  EOR 2008»
14 years 11 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