Nowadays, micro-mobility sharing systems have become extremely popular. Such systems
consist in fleets of dockless electric vehicles which are deployed in cities, and used by …

This paper addresses the load restoration problem after a power outage event. Our primary
proposed methodology uses a multi-agent reinforcement learning method to make the …

Learning-based adaptive control methods hold the premise of enabling autonomous agents
to reduce the effect of process variations with minimal human intervention. However, its …

Advancements in information and communication technology, decentralized digital
economic structures, and data-driven learning-based technology have transformed …

Metal additive manufacturing (AM) has been regarded as a promising technology, especially
for fabricating structures with complicated or customized designed features. Toolpath plays a …