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SCHEDULING
2008
89views more  SCHEDULING 2008»
15 years 1 months ago
Batch scheduling of step deteriorating jobs
In this paper we consider the problem of scheduling n jobs on a single machine, where the jobs are processed in batches and the processing time of each job is a step function depe...
M. S. Barketau, T. C. Edwin Cheng, C. T. Ng, Vladi...
ICML
1995
IEEE
16 years 2 months ago
Learning Policies for Partially Observable Environments: Scaling Up
Partially observable Markov decision processes (pomdp's) model decision problems in which an agent tries to maximize its reward in the face of limited and/or noisy sensor fee...
Michael L. Littman, Anthony R. Cassandra, Leslie P...
AAAI
1998
15 years 3 months ago
Solving Very Large Weakly Coupled Markov Decision Processes
We present a technique for computing approximately optimal solutions to stochastic resource allocation problems modeled as Markov decision processes (MDPs). We exploit two key pro...
Nicolas Meuleau, Milos Hauskrecht, Kee-Eung Kim, L...
101
Voted
EWRL
2008
15 years 3 months ago
Regularized Fitted Q-Iteration: Application to Planning
We consider planning in a Markovian decision problem, i.e., the problem of finding a good policy given access to a generative model of the environment. We propose to use fitted Q-i...
Amir Massoud Farahmand, Mohammad Ghavamzadeh, Csab...
FSTTCS
2010
Springer
14 years 11 months ago
Determining the Winner of a Dodgson Election is Hard
Computing the Dodgson Score of a candidate in an election is a hard computational problem, which has been analyzed using classical and parameterized analysis. In this paper we reso...
Michael R. Fellows, Bart M. P. Jansen, Daniel Loks...