Parallel Recombinative Reinforcement Learning

  title={Parallel Recombinative Reinforcement Learning},
  author={Konstantinos Blekas and Andreas StafylopatisComputer},
A technique is presented which is suitable for function optimization in high-dimensional binary domains. The method allows an eecient parallel implementation and is based on the combination of genetic algorithms and reinforcement learning schemes. More speciically, a population of probability vectors is considered, each member corresponding to a reinforcement learning optimizer. Each probability vector represents the adaptable parameters of a team of stochastic units whose binary outputs… CONTINUE READING


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