[NPJ Com. Mat.] Offical implement of Bgolearn
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Updated
Aug 30, 2026 - Jupyter Notebook
[NPJ Com. Mat.] Offical implement of Bgolearn
standard, high-dimensional, parallel, constrained, and multiobjective Bayesian optimization algorithms
A complete expected improvement criterion for Gaussian process assisted highly constrained expensive optimization
Machine learning models (SVR with CBFV featurization) to predict maximum stress and minimum density of Al alloys, with bootstrapped uncertainty and Expected Improvement to guide design of high strength-to-weight ratio alloys.
GPmp extensions
Autonomous Vehicle (AV) Motion Planning with Reinforcement Learning methods - DQN, PPO | Bayesian Optimization Parameter Search
A reading memo of [Jones, 2001] -- the invention of the Expected Improvement (EI) algorithm
Bayesian optimization for lab-scale formulation problems — fewer experiments, physics-informed priors
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