Combinatorial optimization problems are often encountered in real-world applications, including logistics, scheduling and ...
Abstract: This article proposes online data-based reinforcement learning (RL) algorithm for adaptive output consensus control of heterogeneous multiagent systems (MASs) with unknown dynamics. First, ...
Abstract: Multi-agent path finding (MAPF) problem in warehouse automation consists of optimal task assignment and path planning, where small runtime is necessary. In this letter, we present a new MAPF ...