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Releases: aimat-lab/Multi-stage-Bayesian-optimisation

Code for: "Multi-stage Bayesian optimisation for dynamic decision-making in self-driving labs"

09 Mar 16:10

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Initial Release: Code for "Multi-stage Bayesian optimisation for dynamic decision-making in self-driving labs"

This version contains the source code, configuration files, and analysis scripts associated with the manuscript:
"Multi-stage Bayesian optimisation for dynamic decision-making in self-driving labs" (Under Review).

Key Contents:

  • Framework: Implementation of the multi-stage Bayesian optimisation algorithms.
  • Experiments: Code to reproduce the benchmarks and simulations described in the paper.
  • Preprint: arXiv:2512.15483

This snapshot represents the state of the software at the time of submission. For installation and execution details, see README.md.