Abstract: As different tiers are stacked together in 3-D integrated circuits, the power/ground (P/G) network simulation becomes more challenging than that of 2-D cases. In this brief, we propose a ...
Considering the dynamics and non-linear characteristics of biped robots, gait optimization is an extremely challenging task. To tackle this issue, a parallel heterogeneous policy Deep Reinforcement ...
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Transient pulmonary congestion during exercise is emerging as an important determinant of reduced exercise capacity in heart failure with preserved ejection fraction (HFpEF). We sought to determine ...
Reinforcement Learning (RL) controllers have proved to effectively tackle the dual objectives of path following and collision avoidance. However, finding which RL algorithm setup optimally trades off ...
Active efflux of drugs and toxic compounds carried out by multidrug and toxic compound extrusion (MATE) family transporters is one of the strategies developed by bacterial pathogens to confer ...
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