125 search results - page 14 / 25 » The Stochastic Machine Replenishment Problem |
113
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WSC
2008
15 years 4 months ago
2008
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
136
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ALT
2010
Springer
15 years 3 months ago
2010
Springer
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
195
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Publication
We introduce a class of learning problems where the agent is presented with a series of tasks. Intuitively, if there is relation among those tasks, then the information gained duri...
122
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ICML
2007
IEEE
16 years 2 months ago
2007
IEEE
We describe and analyze a simple and effective iterative algorithm for solving the optimization problem cast by Support Vector Machines (SVM). Our method alternates between stocha...
122
Voted
ICML
2005
IEEE
16 years 2 months ago
2005
IEEE
Gaussian Process Temporal Difference (GPTD) learning offers a Bayesian solution to the policy evaluation problem of reinforcement learning. In this paper we extend the GPTD framew...