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CORR
2010
Springer
76views Education» more  CORR 2010»
15 years 1 months ago
Freezing and Sleeping: Tracking Experts that Learn by Evolving Past Posteriors
A problem posed by Freund is how to efficiently track a small pool of experts out of a much larger set. This problem was solved when Bousquet and Warmuth introduced their mixing p...
Wouter M. Koolen, Tim van Erven
GECCO
2009
Springer
103views Optimization» more  GECCO 2009»
15 years 4 months ago
Bumblebees: a multiagent combinatorial optimization algorithm inspired by social insect behaviour
This paper introduces a multiagent optimization algorithm inspired by the collective behavior of social insects. In our method, each agent encodes a possible solution of the probl...
Francesc Comellas, Jesus Martinez-Navarro
CORR
2008
Springer
107views Education» more  CORR 2008»
15 years 6 months ago
Symmetry Breaking for Maximum Satisfiability
Symmetries are intrinsic to many combinatorial problems including Boolean Satisfiability (SAT) and Constraint Programming (CP). In SAT, the identification of symmetry breaking pred...
João Marques-Silva, Inês Lynce, Vasco...
WSC
2008
15 years 8 months ago
Approximate dynamic programming: Lessons from the field
Approximate dynamic programming is emerging as a powerful tool for certain classes of multistage stochastic, dynamic problems that arise in operations research. It has been applie...
Warren B. Powell
AIPS
2009
15 years 7 months ago
Multi-Agent Online Planning with Communication
We propose an online algorithm for planning under uncertainty in multi-agent settings modeled as DEC-POMDPs. The algorithm helps overcome the high computational complexity of solv...
Feng Wu, Shlomo Zilberstein, Xiaoping Chen