A Bayesian optimization method with heteroscedastic Gaussian process surrogate and movement switching cost achieves sublinear regret and effective source localization in simulations for radioactive source seeking.
Aerial radiation monitoring around the Fukushima Dai-ichi nuclear power plant using an unmanned helicopter , volume =
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Radioactive Source Seeking using Bayesian Optimisation with Movement Penalty
A Bayesian optimization method with heteroscedastic Gaussian process surrogate and movement switching cost achieves sublinear regret and effective source localization in simulations for radioactive source seeking.