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UAI
1998
14 years 10 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 1 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 1 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»
14 years 9 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
79
Voted
ICML
2006
IEEE
15 years 10 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