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» The Stochastic Machine Replenishment Problem
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ICML
2009
IEEE
14 years 10 months ago
Approximate inference for planning in stochastic relational worlds
Relational world models that can be learned from experience in stochastic domains have received significant attention recently. However, efficient planning using these models rema...
Tobias Lang, Marc Toussaint
ESA
2006
Springer
136views Algorithms» more  ESA 2006»
14 years 1 months ago
Approximation in Preemptive Stochastic Online Scheduling
Abstract. We present a first constant performance guarantee for preemptive stochastic scheduling to minimize the sum of weighted completion times. For scheduling jobs with release ...
Nicole Megow, Tjark Vredeveld
IOR
2010
114views more  IOR 2010»
13 years 8 months ago
Inventory Management of a Fast-Fashion Retail Network
Working in collaboration with Spain-based retailer Zara, we address the problem of distributing over time a limited amount of inventory across all the stores in a fast-fashion ret...
Felipe Caro, Jérémie Gallien
ICML
2006
IEEE
14 years 10 months ago
Predictive linear-Gaussian models of controlled stochastic dynamical systems
We introduce the controlled predictive linearGaussian model (cPLG), a model that uses predictive state to model discrete-time dynamical systems with real-valued observations and v...
Matthew R. Rudary, Satinder P. Singh
ICML
2001
IEEE
14 years 10 months ago
Direct Policy Search using Paired Statistical Tests
Direct policy search is a practical way to solve reinforcement learning problems involving continuous state and action spaces. The goal becomes finding policy parameters that maxi...
Malcolm J. A. Strens, Andrew W. Moore