Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
Abstract—Robust, dependable and concise coordination between members of a robot team is a critical ingredient of any such collective activity. Depending on the availability and t...
George Roussos, Dikaios Papadogkonas, J. Taylor, D...
We propose group communication for agent coordination within “active rooms” and other pervasive computing scenarios featuring strict real-time requirements, inherently unrelia...
Paolo Busetta, Mattia Merzi, Silvia Rossi, Fran&cc...
In this contribution we present a theoretical approach which has been utilized to inform the coordination of the development of complex systems. Coordination is regarded as a form...
— For mobile platforms with steerable standard wheels it is necessary to precisely coordinate rotation and steering angle of their wheels. Especially for redundantly actuated pla...
Christian Pascal Connette, Andreas Pott, Martin H&...