KosukeHamazaki/RLLMBO

Source codes used in the article Kosuke Hamazaki and Koji Tsuda, "Knowledge-Guided Bayesian Optimization Using Pre-trained LLMs Speeds Up the Identification of Superior Genotypes from Germplasm Collection".

Python

2 commits

updated Jun 22, 2026

See the code

README

RLLMBO: Source codes used in the article Kosuke Hamazaki and Koji Tsuda, "Knowledge-Guided Bayesian Optimization Using Pre-trained LLMs Speeds Up the Identification of Superior Genotypes from Germplasm Collection".

Author: Kosuke Hamazaki

ALLMBO directory includes the implementation of the LLM-guided or conventional Bayesian optimization framework, whereas scripts directory includes the source codes for preprocessing the datasets, running the LLM-guided and conventional BO, and visulaizing the results.

Similar repos

schwallergroup/gollum

IBM/thompson-sampling-via-fine-tuning-of-llms

Open source repository accompanying the paper `Thompson Sampling via Fine-Tuning of LLMs` published…

huawei-noah/HEBO

Bayesian optimisation & Reinforcement Learning library developed by Huawei Noah's Ark Lab

2,812

MetaEvo/Awesome-MetaBBO

A collection of MetaBBO papers and code sources

114

jsunn-y/SGPO

Steering discrete diffusion models with labeled data for protein fitness optimization

wiseodd/lapeft-bayesopt

Discrete Bayesian optimization with LLMs, PEFT finetuning methods, and the Laplace approximation.

CLAIRE-Labo/EvoTune

Efficiently discovering algorithms via LLMs with evolutionary search and reinforcement learning.

144

aguvenek/LLMvsPRS