Multi-Robot Multi-Queue Control via Exhaustive Assignment Actor-Critic Learning

ArXi:2604.03605v1 Announce Type: cross We study online task allocation for multi-robot, multi-queue systems with asymmetric stochastic arrivals and switching delays. We formulate the problem in discrete time: each location can host at most one robot per slot, servicing a task consumes one slot, switching between locations incurs a one-slot travel delay, and arrivals at locations are independent Bernoulli processes with heterogeneous rates.