3837 search results - page 50 / 768 » Learning Approximate Consistencies |
126
Voted
INFOCOM
2012
IEEE
13 years 4 months ago
2012
IEEE
—In this paper we develop an adaptive learning algorithm which is approximately optimal for an opportunistic spectrum access (OSA) problem with polynomial complexity. In this OSA...
133
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ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Many structured prediction tasks involve complex models where inference is computationally intractable, but where it can be well approximated using a linear programming relaxation...
115
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IWANN
1999
Springer
15 years 6 months ago
1999
Springer
To avoid the curse of dimensionality, function approximators are used in reinforcement learning to learn value functions for individual states. In order to make better use of comp...
101
Voted
ICML
2010
IEEE
15 years 3 months ago
2010
IEEE
Standard Reinforcement Learning (RL) aims to optimize decision-making rules in terms of the expected return. However, especially for risk-management purposes, other criteria such ...
151
Voted
ASC
2007
15 years 2 months ago
2007
Stability is one of the most important subjects in control systems. As for the stability of nonlinear dynamical systems, Lyapunov’s direct method and linearized stability analys...