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» Approximate dynamic programming: Lessons from the field
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EOR
2008
123views more  EOR 2008»
13 years 7 months ago
Fixed versus flexible production systems: A real options analysis
In this work, we address investment decisions in production systems by using real options. As is standard in literature, the stochastic variable is assumed to be normally distribu...
Dalila B. M. M. Fontes
COMPUTER
2002
103views more  COMPUTER 2002»
13 years 6 months ago
SimpleScalar: An Infrastructure for Computer System Modeling
tail defines the level of abstraction used to implement the model's components. A highly detailed model will faithfully simulate all aspects of machine operation, whether or n...
Todd M. Austin, Eric Larson, Dan Ernst
AI
1998
Springer
13 years 6 months ago
Model-Based Average Reward Reinforcement Learning
Reinforcement Learning (RL) is the study of programs that improve their performance by receiving rewards and punishments from the environment. Most RL methods optimize the discoun...
Prasad Tadepalli, DoKyeong Ok
SIAMIS
2011
13 years 1 months ago
NESTA: A Fast and Accurate First-Order Method for Sparse Recovery
Abstract. Accurate signal recovery or image reconstruction from indirect and possibly undersampled data is a topic of considerable interest; for example, the literature in the rece...
Stephen Becker, Jérôme Bobin, Emmanue...