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AAMAS
2007
Springer
15 years 4 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
TSP
2010
14 years 10 months ago
Adaptive design of OFDM radar signal with improved wideband ambiguity function
We propose an adaptive technique to design the spectrum of an orthogonal frequency division multiplexing (OFDM) waveform to improve the radar's wideband ambiguity function (WA...
Satyabrata Sen, Arye Nehorai
LION
2009
Springer
112views Optimization» more  LION 2009»
15 years 10 months ago
A Graph-Based Semi-supervised Algorithm for Protein Function Prediction from Interaction Maps
Abstract. Protein function prediction represents a fundamental challenge in bioinformatics. The increasing availability of proteomics network data has enabled the development of se...
Valerio Freschi
ISSS
2002
IEEE
136views Hardware» more  ISSS 2002»
15 years 9 months ago
Combined Functional Partitioning and Communication Speed Selection for Networked Voltage-Scalable Processors
This paper presents a new technique for global energy optimization through coordinated functional partitioning and speed selection for embedded processors interconnected by a high...
Nader Bagherzadeh, Pai H. Chou, Jinfeng Liu
EMO
2001
Springer
71views Optimization» more  EMO 2001»
15 years 8 months ago
Inferential Performance Assessment of Stochastic Optimisers and the Attainment Function
Abstract The performance of stochastic optimisers can be assessed experimentally on given problems by performing multiple optimisation runs, and analysing the results. Since an opt...
Viviane Grunert da Fonseca, Carlos M. Fonseca, And...