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SAGA
2009
Springer
14 years 2 months ago
Bounds for Multistage Stochastic Programs Using Supervised Learning Strategies
We propose a generic method for obtaining quickly good upper bounds on the minimal value of a multistage stochastic program. The method is based on the simulation of a feasible dec...
Boris Defourny, Damien Ernst, Louis Wehenkel
AAAI
1998
13 years 8 months ago
Applying Online Search Techniques to Continuous-State Reinforcement Learning
In this paper, we describe methods for e ciently computing better solutions to control problems in continuous state spaces. We provide algorithms that exploit online search to boo...
Scott Davies, Andrew Y. Ng, Andrew W. Moore
CP
2007
Springer
14 years 1 months ago
Solving the Salinity Control Problem in a Potable Water System
Salinity is the relative concentration of salts in water. In a city of southern China, the local water supply company pumps water from a nearby river for potable use. During the wi...
Chiu Wo Choi, Jimmy Ho-Man Lee
ICNP
2000
IEEE
13 years 12 months ago
General AIMD Congestion Control
Instead of the increase-by-onedecrease-to-halfstrategy used in TCP Reno for congestion window adjustment, we consider the general case such that the increase value and decrease ra...
Yang Richard Yang, Simon S. Lam
INFORMATICALT
2010
122views more  INFORMATICALT 2010»
13 years 6 months ago
On a Time-Varying Parameter Adaptive Self-Organizing System in the Presence of Large Outliers in Observations
In the previous papers (Pupeikis, 2000; Genov et al., 2006; Atanasov and Pupeikis, 2009), a direct approach for estimating the parameters of a discrete-time linear time-invariant (...
Rimantas Pupeikis