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» Decisive Markov Chains
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NIPS
2004
15 years 3 months ago
VDCBPI: an Approximate Scalable Algorithm for Large POMDPs
Existing algorithms for discrete partially observable Markov decision processes can at best solve problems of a few thousand states due to two important sources of intractability:...
Pascal Poupart, Craig Boutilier
JMLR
2002
100views more  JMLR 2002»
15 years 1 months ago
On the Convergence of Optimistic Policy Iteration
We consider a finite-state Markov decision problem and establish the convergence of a special case of optimistic policy iteration that involves Monte Carlo estimation of Q-values,...
John N. Tsitsiklis
STOC
2002
ACM
149views Algorithms» more  STOC 2002»
16 years 1 months ago
The complexity of choosing an H-colouring (nearly) uniformly at random
Cooper, Dyer and Frieze studied the problem of sampling H-colourings (nearly) uniformly at random. Special cases of this problem include sampling colourings and independent sets a...
Leslie Ann Goldberg, Steven Kelk, Mike Paterson
UAI
2000
15 years 3 months ago
Minimum Message Length Clustering Using Gibbs Sampling
The K-Means and EM algorithms are popular in clustering and mixture modeling due to their simplicity and ease of implementation. However, they have several significant limitations...
Ian Davidson
ISOLA
2010
Springer
15 years 3 days ago
Ten Years of Performance Evaluation for Concurrent Systems Using CADP
This article comprehensively surveys the work accomplished during the past decade on an approach to analyze concurrent systems qualitatively and quantitatively, by combining functi...
Nicolas Coste, Hubert Garavel, Holger Hermanns, Fr...