A/B testing, at its core, is the practice of comparing two or more variants of a product or feature, often called the "control" and the "treatment," to measure which performs better based on a ...

This article considers the problem of efficient sampling for toxicity detection in competitive online video games. Video game service operators take proactive measures to detect and address ...

This paper investigates an online convex optimization problem on time-varying directed networks, where each agent holds its own convex cost function and the goal is to cooperatively minimize the sum ...

3 Distributed primal–dual hybrid gradient algorithm. This section first introduces a distributed quantile regression framework and formulates our problem as a saddle-point optimization problem.

Python Implementation of Reinforcement Learning: An Introduction - auspicie/ShangtongZhang-reinforcement-learning-an-introduction ...