Releases: aimat-lab/Multi-stage-Bayesian-optimisation
Releases · aimat-lab/Multi-stage-Bayesian-optimisation
Code for: "Multi-stage Bayesian optimisation for dynamic decision-making in self-driving labs"
Code for: "Multi-stage Bayesian optimisation for dynamic decision-making in self-driving labs"
Latest
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.