2683 search results - page 192 / 537 » Machine learning problems from optimization perspective |
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
Abstract--Reinforcement learning (RL) research typically develops algorithms for helping an RL agent best achieve its goals-however they came to be defined--while ignoring the rela...
ICML
2003
IEEE
16 years 3 months ago
2003
IEEE
A satisfactory multiagent learning algorithm should, at a minimum, learn to play optimally against stationary opponents and converge to a Nash equilibrium in self-play. The algori...
128
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COLT
2007
Springer
15 years 9 months ago
2007
Springer
We present a new class of problems, called resource-bounded information gathering for correlation clustering. Our goal is to perform correlation clustering under circumstances in w...
124
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NIPS
1993
15 years 4 months ago
1993
Dynamic programming provides a methodology to develop planners and controllers for nonlinear systems. However, general dynamic programming is computationally intractable. We have ...
134
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ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
We propose a method for the classification of matrices. We use a linear classifier with a novel regularization scheme based on the spectral 1-norm of its coefficient matrix. The s...