248 search results - page 10 / 50 » Rate of Convergence for Constrained Stochastic Approximation... |
ATAL
2008
Springer
13 years 9 months ago
2008
Springer
We define the class of games called simulation-based games, in which the payoffs are available as an output of an oracle (simulator), rather than specified analytically or using a...
NIPS
1993
13 years 9 months ago
1993
Stochastic optimization algorithms typically use learning rate schedules that behave asymptotically as (t) = 0=t. The ensemble dynamics (Leen and Moody, 1993) for such algorithms ...
DCOSS
2006
Springer
13 years 11 months ago
2006
Springer
We develop algorithms for finding the minimum energy transmission schedule for duty-cycle and rate constrained wireless sensor nodes transmitting over an interference channel. Sinc...
ANOR
2002
13 years 7 months ago
2002
A new algorithm for solving smooth large-scale minimization problems with bound constraints is introduced. The way of dealing with active constraints is similar to the one used in...
ICML
2003
IEEE
14 years 8 months ago
2003
IEEE
In Reinforcement Learning (RL) there has been some experimental evidence that the residual gradient algorithm converges slower than the TD(0) algorithm. In this paper, we use the ...