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R/OptimizerAsyncMbo.R

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#' AMBO starts multiple sequential MBO runs on different workers.
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#' The worker communicate asynchronously through a shared archive.
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#' The optimizer follows a modular layout in which the surrogate model, acquisition function, and acquisition optimizer can be changed.
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#' The [SurrogateAsyncLearner] class is similar to [SurrogateLearner] but can impute results for ongoing evaluations.
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#' The [SurrogateLearnerAsync] class is similar to [SurrogateLearner] but can impute results for ongoing evaluations.
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#' The `AcqFunctionStochastic*` classes create varying acquisition functions on each worker, promoting different exploration-exploitation balances.
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#' The [AcqOptimizer] classes remain consistent with those used in synchronous MBO.
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#'

man/mlr_optimizers_async_mbo.Rd

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