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» Neural Dynamics with Stochasticity
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SAC
2009
ACM
16 years 1 months ago
Modular implementation of adaptive decisions in stochastic simulations
We present a modular approach to implement adaptive decisions with existing scientific codes. Using a sophisticated system software tool based on the function call interception t...
Pilsung Kang 0002, Yang Cao, Naren Ramakrishnan, C...
AAMAS
2007
Springer
16 years 11 days ago
Optimal Control in Large Stochastic Multi-agent Systems
Abstract. We study optimal control in large stochastic multi-agent systems in continuous space and time. We consider multi-agent systems where agents have independent dynamics with...
Bart van den Broek, Wim Wiegerinck, Bert Kappen
DATE
2010
IEEE
148views Hardware» more  DATE 2010»
15 years 11 months ago
Scalable stochastic processors
Abstract—Future microprocessors increasingly rely on an unreliable CMOS fabric due to aggressive scaling of voltage and frequency, and shrinking design margins. Fortunately, many...
Sriram Narayanan, John Sartori, Rakesh Kumar, Doug...
IRREGULAR
1997
Springer
15 years 10 months ago
Parallel Shared-Memory State-Space Exploration in Stochastic Modeling
Stochastic modeling forms the basis for analysis in many areas, including biological and economic systems, as well as the performance and reliability modeling of computers and comm...
Susann C. Allmaier, Graham Horton
CPAIOR
2008
Springer
15 years 8 months ago
Amsaa: A Multistep Anticipatory Algorithm for Online Stochastic Combinatorial Optimization
The one-step anticipatory algorithm (1s-AA) is an online algorithm making decisions under uncertainty by ignoring future non-anticipativity constraints. It makes near-optimal decis...
Luc Mercier, Pascal Van Hentenryck