InfoQ

Enhancing A/B Testing at DoorDash with Multi-Armed Bandits

While experimentation is essential, traditional A/B testing can be excessively slow and expensive, according to DoorDash engineers Caixia Huang and Alex Weinstein. To address these limitations, they ...
EurekAlert!

AI tool differentiates between tumors in shared brain region

Automated machine learning can accurately identify two types of benign tumors that develop in the same space within the brain ...
IEEE

An Optimisation Approach for Reactive Power and Voltage in Distribution Networks Utilising Multiagent Deep Reinforcement Learning

Abstract: This paper proposes a multi-agent deep reinforcement learning approach for distributed voltage regulation in highpenetration photovoltaic distribution networks, addressing critical voltage ...
IEEE

Distribution Prototype Diffusion Learning for Open-set Supervised Anomaly Detection

Abstract: In Open-set Supervised Anomaly Detection (OSAD), the existing methods typically generate pseudo anomalies to compensate for the scarcity of observed anomaly samples, while overlooking ...