This study addresses an energy-efficient multiobjective distributed assembly permutation flowshop scheduling problem with sequence dependent setup time. The objectives are to minimize the maximum ...

The deadline is closing in, compiler errors keep flashing across your screen, and the fear of lost GPA points feels like a waking nightmare. In that moment, a s ...

We propose a model-based reinforcement learning algorithm for biped walking in which the robot learns to appropriately place the swing leg. This decision is based on a learned model of the Poincare ...