A quadruped robot uses deep reinforcement learning to master walking on varied terrains, demonstrating energy-efficient and ...

ABSTRACT: This is the first paper to be written on the theory of structural learning. The first section outlines the overall concept; the second section proposes the logical universe as the ...

In this video, we will understand all major Optimization in Deep Learning. We will see what is Optimization in Deep Learning and why do we need them in the first place. Optimization in Deep Learning ...

1 School of Life Sciences, Jining Medical University, Jining, China 2 Key Laboratory of Standardization of Chinese Medicine (Chengdu University of Traditional Chinese Medicine), Ministry of Education, ...

State officials on Thursday celebrated new heights in just-released high school graduation rates, though similar achievement levels were not seen in other measures of student learning. California’s ...

Abstract: The traditional convex optimization sensorless control method for internal permanent magnet synchronous motors (IPMSM) is difficult to balance small computational complexity, fast ...

Introduction: Assessing eating behaviors such as eating rate can shed light on risk for overconsumption and obesity. Current approaches either use sensors that disrupt natural eating or rely on ...

If warmup is the answer, what is the question? The learning rate warmup for Adam is a must-have trick for stable training in certain situations (or eps tuning). But the underlying mechanism is largely ...

Abstract: Accurate and efficient channel state information (CSI) feedback is crucial for unlocking the substantial spectral efficiency gains of extremely large-scale MIMO (XL-MIMO) systems in future 6 ...