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147
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AAAI
1998
15 years 6 months ago
The Dynamics of Reinforcement Learning in Cooperative Multiagent Systems
Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
Caroline Claus, Craig Boutilier
FLAIRS
2000
15 years 6 months ago
Latin Hypercube Sampling in Bayesian Networks
Wepropose a schemefor producingLatin hypercube samples that can enhanceany of the existing sampling algorithms in Bayesiannetworks. Wetest this scheme in combinationwith the likel...
Jian Cheng, Marek J. Druzdzel
NIPS
1992
15 years 6 months ago
Hidden Markov Model} Induction by Bayesian Model Merging
This paper describes a technique for learning both the number of states and the topologyof Hidden Markov Models from examples. The inductionprocess starts with the most specific m...
Andreas Stolcke, Stephen M. Omohundro
ATAL
2010
Springer
15 years 6 months ago
Laplacian-based consensus on spatial computers
Robotic swarms, like all spatial computers, are a challenging environment for the execution of distributed consensus algorithms due to their scale, diameter, and frequent failures...
Nelson Elhage, Jacob Beal
159
Voted
CDC
2009
IEEE
128views Control Systems» more  CDC 2009»
15 years 6 months ago
Feedback generation of quantum Fock states by discrete QND measures
A feedback scheme for preparation of photon number states in a microwave cavity is proposed. Quantum Non Demolition (QND) measurement of the cavity field provides information on it...
Mazyar Mirrahimi, Igor Dotsenko, Pierre Rouchon