Ataíde M. G. dos Santos

Learning Policies for Dynamic Coalition Formation in Multi-Robot Task Allocation

We propose a decentralized, learning-based framework for dynamic coalition formation in Multi-Robot Task Allocation (MRTA). Our approach extends MAPPO by integrating spatial action maps, robot motion planning, intention sharing, and task allocation revision to enable effective and adaptive coalition