2031 search results - page 12 / 407 » Approximation Algorithms for 2-Stage Stochastic Optimization... |
CDC
2010
IEEE
13 years 2 months ago
2010
IEEE
This paper considers consensus problems with delayed noisy measurements, and stochastic approximation is used to achieve mean square consensus. For stochastic approximation based c...
AAAI
2004
13 years 9 months ago
2004
This paper considers online stochastic optimization problems where time constraints severely limit the number of offline optimizations which can be performed at decision time and/...
CCE
2004
13 years 7 months ago
2004
A large number of problems in production planning and scheduling, location, transportation, finance, and engineering design require that decisions be made in the presence of uncer...
NIPS
2008
13 years 9 months ago
2008
The stochastic approximation method is behind the solution to many important, actively-studied problems in machine learning. Despite its farreaching application, there is almost n...
ATAL
2007
Springer
14 years 2 months ago
2007
Springer
It is known that the complexity of the reinforcement learning algorithms, such as Q-learning, may be exponential in the number of environment’s states. It was shown, however, th...