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AAMAS
2007
Springer
15 years 2 months ago
Parallel Reinforcement Learning with Linear Function Approximation
In this paper, we investigate the use of parallelization in reinforcement learning (RL), with the goal of learning optimal policies for single-agent RL problems more quickly by us...
Matthew Grounds, Daniel Kudenko
PC
2008
158views Management» more  PC 2008»
15 years 2 months ago
Application of multistage stochastic programs solved in parallel in portfolio management
We present a multistage model for allocation of financial resources to bond indices in different currencies. The model was tested on historical data of interest and exchange rates...
Mária Lucká, Igor Melichercik, Ladis...
ICC
2009
IEEE
127views Communications» more  ICC 2009»
15 years 9 months ago
Dynamic Coexistence of Frequency Hopping Networks Using Parallel and Gaussian Allocations
Abstract—This paper studies the coexistence of several independent and dynamic wireless networks using the frequency hopping technique in the unlicensed radio band. We propose a ...
Mohammad Masud Hasan, Ravi Prakash, Jason P. Jue
DAGM
2003
Springer
15 years 7 months ago
Domain Decomposition for Parallel Variational Optical Flow Computation
We present an approach to parallel variational optical flow computation by using an arbitrary partition of the image plane and iteratively solving related local variational proble...
Timo Kohlberger, Christoph Schnörr, Andr&eacu...
CCE
2008
15 years 25 days ago
Optimal current distribution control for parallel electrolytic baths
A simple optimal balance control scheme for electrolyzation plants is proposed. It can be realized through the use of a commercially available model predictive control (MPC) packa...
Hidekazu Kugemoto, Keita Ozaki, Yoshinori Kutsuwa,...