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Changes the default value of some
Exploration
parameters:run_async=False
. I think this is a more adequate default. Only when the time cost can change significantly between evaluations should the user setrun_async=True
. Otherwise, the current default was resulting in some performance loss, because new evaluations are no longer generated in batch unless the previous evaluations finished at exactly the same time.max_evals=np.inf
. By default, allow the exploration to run indefinitely. This is useful when running interactively in substeps withExploration.run(n_evals)
without predefining a maximum limit.sim_workers=1
. By default, run with only 1 worker.