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GECCO
2006
Springer
133views Optimization» more  GECCO 2006»
15 years 5 months ago
On-line evolutionary computation for reinforcement learning in stochastic domains
In reinforcement learning, an agent interacting with its environment strives to learn a policy that specifies, for each state it may encounter, what action to take. Evolutionary c...
Shimon Whiteson, Peter Stone
GECCO
2006
Springer
167views Optimization» more  GECCO 2006»
15 years 5 months ago
Genomic computing networks learn complex POMDPs
A genomic computing network is a variant of a neural network for which a genome encodes all aspects, both structural and functional, of the network. The genome is evolved by a gen...
David J. Montana, Eric Van Wyk, Marshall Brinn, Jo...
ICCSA
2005
Springer
15 years 6 months ago
Evolutionary Algorithm for Congestion Problem in Connection-Oriented Networks
The major objective of this paper is to deploy an effective evolutionary algorithm (EA) for the congestion problem in connection-oriented networks. The network flow is modeled as n...
Michal Przewozniczek, Krzysztof Walkowiak