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UAI
2004
15 years 4 months ago
Dynamic Programming for Structured Continuous Markov Decision Problems
We describe an approach for exploiting structure in Markov Decision Processes with continuous state variables. At each step of the dynamic programming, the state space is dynamica...
Zhengzhu Feng, Richard Dearden, Nicolas Meuleau, R...
COR
2008
85views more  COR 2008»
15 years 3 months ago
Short-term hydropower production planning by stochastic programming
Within the framework of multi-stage mixed-integer linear stochastic programming we develop a short-term production plan for a price-taking hydropower plant operating under uncerta...
Stein-Erik Fleten, Trine Krogh Kristoffersen
CORR
2008
Springer
111views Education» more  CORR 2008»
15 years 1 months ago
Concave Programming Upper Bounds on the Capacity of 2-D Constraints
The capacity of 1-D constraints is given by the entropy of a corresponding stationary maxentropic Markov chain. Namely, the entropy is maximized over a set of probability distribut...
Ido Tal, Ron M. Roth
AUTOMATICA
2011
14 years 10 months ago
Distributed dynamic programming for discrete-time stochastic control, and idempotent algorithms
Previously, idempotent methods have been found to be extremely fast for solution of dynamic programming equations associated with deterministic control problems. The original meth...
William M. McEneaney
AAIM
2009
Springer
101views Algorithms» more  AAIM 2009»
15 years 9 months ago
Integer Polyhedra for Program Analysis
Polyhedra are widely used in model checking and abstract interpretation. Polyhedral analysis is effective when the relationships between variables are linear, but suffers from im...
Philip J. Charles, Jacob M. Howe, Andy King