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NIPS
1994
15 years 5 months ago
Reinforcement Learning with Soft State Aggregation
It is widely accepted that the use of more compact representations than lookup tables is crucial to scaling reinforcement learning (RL) algorithms to real-world problems. Unfortun...
Satinder P. Singh, Tommi Jaakkola, Michael I. Jord...
CAD
2008
Springer
15 years 4 months ago
Constrained curve fitting on manifolds
When designing curves on surfaces the need arises to approximate a given noisy target shape by a smooth fitting shape. We discuss the problem of fitting a B-spline curve to a poin...
Simon Flöry, Michael Hofer
JMLR
2006
153views more  JMLR 2006»
15 years 3 months ago
Collaborative Multiagent Reinforcement Learning by Payoff Propagation
In this article we describe a set of scalable techniques for learning the behavior of a group of agents in a collaborative multiagent setting. As a basis we use the framework of c...
Jelle R. Kok, Nikos A. Vlassis
PAMI
2008
160views more  PAMI 2008»
15 years 3 months ago
Parametric Image Alignment Using Enhanced Correlation Coefficient Maximization
In this work, we propose the use of a modified version of the correlation coefficient as a performance criterion for the image alignment problem. The proposed modification has the ...
Georgios D. Evangelidis, Emmanouil Z. Psarakis
IOR
2010
71views more  IOR 2010»
15 years 1 months ago
Stochastic Root Finding and Efficient Estimation of Convex Risk Measures
Reliable risk measurement is a key problem for financial institutions and regulatory authorities. The current industry standard Value-at-Risk has several deficiencies. Improved ri...
Jörn Dunkel, Stefan Weber