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On the Ultimate Convergence Rates for Isotropic Algorithms and the Best Choices Among Various Forms of Isotropy.
Olivier Teytaud
Sylvain Gelly
Jérémie Mary
Published in:
PPSN (2006)
Keyphrases
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convergence rate
computational complexity
optimization problems
learning rate
machine learning
computational cost
computationally efficient
markov decision processes
decomposition method
stopping criterion