# Parallel Recombinative Reinforcement Learning

@inproceedings{Blekas2012ParallelRR, title={Parallel Recombinative Reinforcement Learning}, author={Konstantinos Blekas and Andreas StafylopatisComputer}, year={2012} }

- Published 2012

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