Automatic design of robot swarms that perform composite missions: an approach based on inverse reinforcement learning
We investigate the automatic design of robot swarms that perform composite missions—that is, missions specified as the composition of consecutive sub-missions. Automatic design through performance optimization has become a viable and appealing approach to designing robot swarms. First, a user define…