Learning Scalable Policies over Graphs for Multi-Robot Task Allocation using Capsule Attention Networks
Steve Paul,Payam Ghassemi,Souma Chowdhury,Steve Paul,Payam Ghassemi,Souma Chowdhury
This paper presents a novel graph reinforcement learning (RL) architecture to solve multi-robot task allocation (MRTA) problems that involve tasks with deadlines and workload, and robot constraints such as work capacity. While drawing motivation from recent graph learning methods that learn to solve combinatorial optimization (CO) problems such as multi-Traveling Salesman and Vehicle Routing Probl...
