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UAI
1998
15 years 4 months ago
Flexible Decomposition Algorithms for Weakly Coupled Markov Decision Problems
This paper presents two new approaches to decomposing and solving large Markov decision problems (MDPs), a partial decoupling method and a complete decoupling method. In these app...
Ronald Parr
FOCS
1997
IEEE
15 years 7 months ago
The Computational Complexity of Knot and Link Problems
We consider the problem of deciding whether a polygonal knot in 3dimensional Euclidean space is unknotted, capable of being continuously deformed without self-intersection so that...
Joel Hass, J. C. Lagarias, Nicholas Pippenger
DATE
2000
IEEE
92views Hardware» more  DATE 2000»
15 years 6 months ago
An Efficient Heuristic Approach to Solve the Unate Covering Problem
The classical solving approach for two-level logic minimisation reduces the problem to a special case of unate covering and attacks the latter with a (possibly limited) branch-and...
Roberto Cordone, Fabrizio Ferrandi, Donatella Sciu...
JUCS
2002
179views more  JUCS 2002»
15 years 2 months ago
A Fast and Simple Algorithm for Constructing Minimal Acyclic Deterministic Finite Automata
: In this paper, we present a fast and simple algorithm for constructing a minimal acyclic deterministic finite automaton from a finite set of words. Such automata are useful in a ...
Bruce W. Watson
ICML
2006
IEEE
16 years 4 months ago
Probabilistic inference for solving discrete and continuous state Markov Decision Processes
Inference in Markov Decision Processes has recently received interest as a means to infer goals of an observed action, policy recognition, and also as a tool to compute policies. ...
Marc Toussaint, Amos J. Storkey