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ICML
2002
IEEE
16 years 5 months ago
Algorithm-Directed Exploration for Model-Based Reinforcement Learning in Factored MDPs
One of the central challenges in reinforcement learning is to balance the exploration/exploitation tradeoff while scaling up to large problems. Although model-based reinforcement ...
Carlos Guestrin, Relu Patrascu, Dale Schuurmans
ARITH
1999
IEEE
15 years 9 months ago
Complex Logarithmic Number System Arithmetic Using High-Radix Redundant CORDIC Algorithms
This paper describes the application of high radix redundant CORDIC algorithms to complex logarithmic number system arithmetic. It shows that a CLNS addition can be performed with...
David Lewis
FCS
2006
15 years 6 months ago
Speeeding Up Markov Chain Monte Carlo Algorithms
We prove an upper bound on the convergence rate of Markov Chain Monte Carlo (MCMC) algorithms for the important special case when the state space can be aggregated into a smaller ...
Andras Farago
IPCO
1996
89views Optimization» more  IPCO 1996»
15 years 6 months ago
On Dependent Randomized Rounding Algorithms
In recent years, approximation algorithms based on randomized rounding of fractional optimal solutions have been applied to several classes of discrete optimization problems. In t...
Dimitris Bertsimas, Chung-Piaw Teo, Rakesh Vohra
PAMI
2008
139views more  PAMI 2008»
15 years 4 months ago
A Fast Algorithm for Learning a Ranking Function from Large-Scale Data Sets
We consider the problem of learning a ranking function that maximizes a generalization of the Wilcoxon-Mann-Whitney statistic on the training data. Relying on an -accurate approxim...
Vikas C. Raykar, Ramani Duraiswami, Balaji Krishna...