The deeper side of the ball between offense and defense definitely appears to be the latter as the majority of players who will either start or be in deep rotation dominated in the ReliaQuest Bowl ...

We thought it would be helpful to put together a glossary with definitions of some of the most important words and phrases ...

To evaluate the accuracy of the machine learning models, we also compared them to the Acute Stroke Registry and Analysis of Lausanne (ASTRAL) score. Machine learning algorithms ... deep neural network ...

Abstract: Recently, deep reinforcement learning (DRL) has been applied to learn priority dispatching rules (PDRs) for solving complex scheduling problems. However, the existing works face challenges ...

In this paper, we propose a method based on deep reinforcement learning (DRL) with Twin Delayed Deep Deterministic Policy Gradients (TD3) to optimize the microgrid. The proposed method can be used to ...

Originated from Open Source, give back to Open Source. uv: Simplify Python environment and dependency management. uv automatically creates a virtual environment in ...