AdaOPS.AdaOPSSolver — Type
AdaOPSSolver(<keyword arguments>)

Each field may be set via keyword argument. The fields that correspond to algorithm parameters match the definitions in the paper exactly.

Fields

  • epsilon_0
  • xi
  • K
  • D
  • lambda
  • T_max
  • max_trials
  • bounds
  • default_action
  • rng
  • random_source
  • bounds_warnings
  • tree_in_info

Further information can be found in the field docstrings (e.g. ?AdaOPSSolver.xi)

AdaOPS.KLDSampleSize — Function

KLDSampleSize(k::Int, ζ, η::Float64 = 0.05)

Return the minimum sample size in order to achieve an error at most ζ with a 1-η level of confidence according to KLD-Sampling.