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DAGSTUHL
2007
15 years 7 months ago
Sampling-based Approximation Algorithms for Multi-stage Stochastic Optimization
Stochastic optimization problems provide a means to model uncertainty in the input data where the uncertainty is modeled by a probability distribution over the possible realizatio...
Chaitanya Swamy, David B. Shmoys
IPCO
2007
126views Optimization» more  IPCO 2007»
15 years 7 months ago
The Smoothed Number of Pareto Optimal Solutions in Bicriteria Integer Optimization
Abstract. A well established heuristic approach for solving various bicriteria optimization problems is to enumerate the set of Pareto optimal solutions, typically using some kind ...
René Beier, Heiko Röglin, Berthold V&o...
SIROCCO
2008
15 years 7 months ago
Computing Approximate Nash Equilibria in Network Congestion Games
We consider the problem of computing -approximate Nash equilibria in network congestion games. The general problem is known to be PLS-complete for every > 0, but the reductions...
Andreas Emil Feldmann, Heiko Röglin, Berthold...
AAAI
2006
15 years 7 months ago
Compiling Uncertainty Away: Solving Conformant Planning Problems using a Classical Planner (Sometimes)
Even under polynomial restrictions on plan length, conformant planning remains a very hard computational problem as plan verification itself can take exponential time. This heavy ...
Héctor Palacios, Hector Geffner
AAAI
2006
15 years 7 months ago
Learning Partially Observable Action Schemas
We present an algorithm that derives actions' effects and preconditions in partially observable, relational domains. Our algorithm has two unique features: an expressive rela...
Dafna Shahaf, Eyal Amir