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» Optimal Monte Carlo Algorithms
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ICML
2002
IEEE
14 years 8 months ago
Coordinated Reinforcement Learning
We present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
GECCO
2005
Springer
162views Optimization» more  GECCO 2005»
14 years 1 months ago
Evolution of Voronoi based fuzzy recurrent controllers
A fuzzy controller is usually designed by formulating the knowledge of a human expert into a set of linguistic variables and fuzzy rules. Among the most successful methods to auto...
Carlos Kavka, Patricia Roggero, Marc Schoenauer
JSAC
2008
85views more  JSAC 2008»
13 years 7 months ago
A distributed minimum variance estimator for sensor networks
A distributed estimation algorithm for sensor networks is proposed. A noisy time-varying signal is jointly tracked by a network of sensor nodes, in which each node computes its es...
Alberto Speranzon, Carlo Fischione, Karl Henrik Jo...
JCO
2007
123views more  JCO 2007»
13 years 7 months ago
On the number of local minima for the multidimensional assignment problem
The Multidimensional Assignment Problem (MAP) is an NP-hard combinatorial optimization problem occurring in many applications, such as data association, target tracking, and resou...
Don A. Grundel, Pavlo A. Krokhmal, Carlos A. S. Ol...
IPSN
2009
Springer
14 years 2 months ago
Approximating sensor network queries using in-network summaries
In this work we present new in-network techniques for communication efficient approximate query processing in wireless sensornets. We use a model-based approach that constructs a...
Alexandra Meliou, Carlos Guestrin, Joseph M. Helle...