banditry: an online learning framework with optimism-in-the-face-of-uncertainty and posterior-sampling agents
A Python library of contextual bandit agents (GP-UCB, Thompson sampling) for black-box optimisation over mixed design spaces.
Contextual Causal Bayesian Optimisation
A unified framework for contextual and causal Bayesian optimisation with worst-case and instance-dependent high-probability regret bounds.