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» Feature-Discovering Approximate Value Iteration Methods
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NIPS
2007
13 years 9 months ago
Theoretical Analysis of Heuristic Search Methods for Online POMDPs
Planning in partially observable environments remains a challenging problem, despite significant recent advances in offline approximation techniques. A few online methods have a...
Stéphane Ross, Joelle Pineau, Brahim Chaib-...
PKDD
2009
Springer
169views Data Mining» more  PKDD 2009»
14 years 2 months ago
Hybrid Least-Squares Algorithms for Approximate Policy Evaluation
The goal of approximate policy evaluation is to “best” represent a target value function according to a specific criterion. Temporal difference methods and Bellman residual m...
Jeffrey Johns, Marek Petrik, Sridhar Mahadevan
AES
2007
Springer
109views Cryptology» more  AES 2007»
13 years 7 months ago
Compatible coarsening in the multigraph algorithm
We present some heuristics incorporating the philosophy of compatible relaxation into an existing algebraic multigrid method, the so-called multigraph solver of Bank and Smith [1]...
Randolph E. Bank
ICC
2009
IEEE
14 years 2 months ago
A Laplace Transform-Based Method to Stochastic Path Finding
—Finding the most likely path satisfying a requested additive Quality-of-Service (QoS) value, such as delay, when link metrics are defined as random variables by known probabili...
Suleyman Uludag, Ziyneti Elif Uludag, Klara Nahrst...
SCIA
2009
Springer
305views Image Analysis» more  SCIA 2009»
14 years 2 months ago
A Convex Approach to Low Rank Matrix Approximation with Missing Data
Many computer vision problems can be formulated as low rank bilinear minimization problems. One reason for the success of these problems is that they can be efficiently solved usin...
Carl Olsson, Magnus Oskarsson