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inertial-confinement-fusion

topic1 events
papersTODAY 04:00 UTC

Human-in-the-Loop Meta Bayesian Optimization for Fusion Energy

A new arXiv paper presents a human-in-the-loop meta Bayesian optimization framework aimed at experiments where each trial is costly and scarce, such as inertial confinement fusion. The approach combines learned meta-level priors with human feedback to guide the search over experimental parameters under tight budget constraints. The authors frame the method as applicable to scientific domains beyond fusion that face similar cost and access limits.

bayesian-optimization/fusion-energy/human-in-the-loop/research