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NIPS
2003
15 years 1 months ago
A Nonlinear Predictive State Representation
Predictive state representations (PSRs) use predictions of a set of tests to represent the state of controlled dynamical systems. One reason why this representation is exciting as...
Matthew R. Rudary, Satinder P. Singh
ASPDAC
2005
ACM
117views Hardware» more  ASPDAC 2005»
15 years 5 months ago
Dynamic symmetry-breaking for improved Boolean optimization
With impressive progress in Boolean Satisfiability (SAT) solving and several extensions to pseudo-Boolean (PB) constraints, many applications that use SAT, such as highperformanc...
Fadi A. Aloul, Arathi Ramani, Igor L. Markov, Kare...
ECRTS
2006
IEEE
15 years 5 months ago
Optimal On-Line Scheduling of Multiple Control Tasks: A Case Study
We study the problem of dynamically scheduling a set of state-feedback control tasks controlling a set of linear plants. We consider an on-line non-preemptive scheduling policy th...
Anton Cervin, Peter Alriksson
CCE
2004
14 years 11 months ago
Continuous reformulations of discrete-continuous optimization problems
This paper treats the solution of nonlinear optimization problems involving discrete decision variables, also known as generalized disjunctive programming (GDP) or mixed-integer n...
Oliver Stein, Jan Oldenburg, Wolfgang Marquardt
ICMLA
2004
15 years 1 months ago
Planning with predictive state representations
Predictive state representation (PSR) models for controlled dynamical systems have recently been proposed as an alternative to traditional models such as partially observable Mark...
Michael R. James, Satinder P. Singh, Michael L. Li...