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ATAL
2010
Springer
15 years 7 months ago
Evolving policy geometry for scalable multiagent learning
A major challenge for traditional approaches to multiagent learning is to train teams that easily scale to include additional agents. The problem is that such approaches typically...
David B. D'Ambrosio, Joel Lehman, Sebastian Risi, ...
CORR
2010
Springer
83views Education» more  CORR 2010»
15 years 6 months ago
Swapping Evaluation: A Memory-Scalable Solution for Answer-On-Demand Tabling
One of the differences among the various approaches to suspension-based tabled evaluation is the scheduling strategy. The two most popular strategies are local and batched evaluat...
Pablo Chico de Guzmán, Manuel Carro, David ...
JCM
2008
242views more  JCM 2008»
15 years 6 months ago
SimANet - A Large Scalable, Distributed Simulation Framework for Ambient Networks
In this paper, we present a new simulation platform for complex, radio standard spanning mobile Ad Hoc networks. SimANet - Simulation Platform for Ambient Networks - allows the coe...
Matthias Vodel, Matthias Sauppe, Mirko Caspar, Wol...
ICPPW
2009
IEEE
15 years 4 months ago
A Scalable Parallel Approach for Peptide Identification from Large-Scale Mass Spectrometry Data
Identifying peptides, which are short polymeric chains of amino acid residues in a protein sequence, is of fundamental importance in systems biology research. The most popular appr...
Gaurav Ramesh Kulkarni, Ananth Kalyanaraman, Willi...
PLDI
2012
ACM
13 years 9 months ago
Scalable and precise dynamic datarace detection for structured parallelism
Existing dynamic race detectors suffer from at least one of the following three limitations: (i) space overhead per memory location grows linearly with the number of parallel thre...
Raghavan Raman, Jisheng Zhao, Vivek Sarkar, Martin...