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» Computational complexity of stochastic programming problems
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WSC
1998
14 years 6 days ago
Rostering by Iterating Integer Programming and Simulation
We present a new technique (RIIPS) for solving rostering problems in the presence of service uncertainty. RIIPS stands for "Rostering by Iterating Integer Programming and Sim...
Shane G. Henderson, Andrew J. Mason
AAAI
2000
14 years 6 days ago
Deliberation in Equilibrium: Bargaining in Computationally Complex Problems
We develop a normative theory of interaction-negotiation in particular--among self-interested computationally limited agents where computational actions are game-theoretically tre...
Kate Larson, Tuomas Sandholm
ICALP
2007
Springer
14 years 5 months ago
Commitment Under Uncertainty: Two-Stage Stochastic Matching Problems
Abstract. We define and study two versions of the bipartite matching problem in the framework of two-stage stochastic optimization with recourse. In one version the uncertainty is...
Irit Katriel, Claire Kenyon-Mathieu, Eli Upfal
CCE
2004
13 years 10 months ago
An algorithmic framework for improving heuristic solutions: Part II. A new version of the stochastic traveling salesman problem
The algorithmic framework developed for improving heuristic solutions of the new version of deterministic TSP [Choi et al., 2002] is extended to the stochastic case. To verify the...
Jaein Choi, Jay H. Lee, Matthew J. Realff
ICAART
2010
INSTICC
14 years 8 months ago
Complexity of Stochastic Branch and Bound Methods for Belief Tree Search in Bayesian Reinforcement Learning
There has been a lot of recent work on Bayesian methods for reinforcement learning exhibiting near-optimal online performance. The main obstacle facing such methods is that in most...
Christos Dimitrakakis