Abstract: The hysteresis of the positioning platform exhibits rate dependence. To address this issue, the combined modeling approach for hysteresis, integrating the improved gradient descent (GD) ...

In the "This Paper Changed My Life" series, neuroscientists reflect on papers that have profoundly influenced their careers ...

are hybrid algorithms that combine quantum computing and classical optimization. By using parameterized quantum circuits and optimization techniques such as gradient descent, VQAs iteratively adjust ...

In the previous chapter, we learned various strategies to guide AI models 'down the mountain' (optimization algorithms), such as SGD and Adam. The core of these strategies relies on a key piece of ...

When we learned of “the end of history,” a little over three decades ago, our geopolitical meteorologists forecasted sunny skies for the neoliberal reality that was coursing across the globe.

Abstract: Planning for sequential robotics tasks often requires integrated symbolic and geometric reasoning. TAMP algorithms typically solve these problems by performing a tree search over high-level ...