521 search results - page 42 / 105 » Approximation Algorithms for Stochastic Inventory Control Mo... |
TSMC
2002
14 years 9 months ago
2002
In this paper, we present the use of stochastic learning automata (SLA) in mutliagent robotics. In order to fully utilize and implement learning control algorithms in the control o...
CORR
2006
Springer
14 years 10 months ago
2006
Springer
In probabilistic grammatical inference, a usual goal is to infer a good approximation of an unknown distribution P called a stochastic language. The estimate of P stands in some cl...
ICML
2010
IEEE
14 years 11 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...
IJCAI
2001
14 years 11 months ago
2001
R-max is a very simple model-based reinforcement learning algorithm which can attain near-optimal average reward in polynomial time. In R-max, the agent always maintains a complet...
ASPDAC
2010
ACM
14 years 8 months ago
2010
ACM
The gramian approximation methods have been proposed recently to overcome the high computing costs of classical balanced truncation based reduction methods. But those methods typi...