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AI
2002
Springer
15 years 3 months ago
Multiagent learning using a variable learning rate
Learning to act in a multiagent environment is a difficult problem since the normal definition of an optimal policy no longer applies. The optimal policy at any moment depends on ...
Michael H. Bowling, Manuela M. Veloso
132
Voted
PC
1998
101views Management» more  PC 1998»
15 years 3 months ago
Performing Out-of Core FFTs on Parallel Disk Systems
The Fast Fourier Transform (FFT) plays a key role in many areas of computational science and engineering. Although most one-dimensional FFT problems canbe entirely solvedentirely ...
Thomas H. Cormen, David M. Nicol
ICRA
2010
IEEE
189views Robotics» more  ICRA 2010»
15 years 1 months ago
Affordable SLAM through the co-design of hardware and methodology
— Simultaneous localization and mapping (SLAM) is a prominent feature for autonomous robots operating in undefined environments. Applications areas such as consumer robotics app...
Stéphane Magnenat, Valentin Longchamp, Mich...
92
Voted
JCNS
2011
61views more  JCNS 2011»
14 years 10 months ago
Automating the design of informative sequences of sensory stimuli
Adaptive stimulus design methods can potentially improve the efficiency of sensory neurophysiology experiments significantly; however, designing optimal stimulus sequences in re...
Jeremy Lewi, David M. Schneider, Sarah M. N. Wooll...
111
Voted
HPCA
2006
IEEE
16 years 3 months ago
LogTM: log-based transactional memory
Transactional memory (TM) simplifies parallel programming by guaranteeing that transactions appear to execute atomically and in isolation. Implementing these properties includes p...
Kevin E. Moore, Jayaram Bobba, Michelle J. Moravan...