We consider the problem of fitting a reinforcement learning (RL) model to some given behavioral data under a multi-armed bandit environment. These models have received much attention in recent years ...

Abstract: Contextual multi-armed bandit algorithms serve as an effective technique to address online sequential decision-making problems. Despite their popularity, when it comes to off-the-shelf tools ...

Gender-based violence and discrimination are persistent across societies, and rates across Palestine were already unacceptable before the current crisis. The toll of armed conflict is felt heavily ...

The multi-armed bandit (MAB) problem models a decision-maker that optimizes its actions based on current and acquired new knowledge to maximize its reward. This type of online decision is prominent in ...

PyXAB is a Python open-source library for X-armed bandit algorithms, a prestigious set of optimizers for online black-box optimization and hyperparameter optimization. DOO Optimistic Optimization of a ...

Slots is intended to be a basic, very easy-to-use multi-armed bandit library for Python. slots is a Python library designed to allow the user to explore and use simple multi-armed bandit (MAB) ...