Intelligent coordination in complex multi-agent environments requires sophisticated mechanisms for suboptimal task decomposition and efficient resource allocation provided by the t...
An original Reinforcement Learning (RL) methodology is proposed for the design of multi-agent systems. In the realistic setting of situated agents with local perception, the task o...
r that this abstract discusses, proposes a fully decentralized agent-based approach to global stabilization of resource utilization, based on local coordination. The core question ...
Evangelos Pournaras, Martijn Warnier, Frances M. T...
We elaborate on the mathematical foundations of the meaning coordination problem that agents face in open environments. We investigate to which extend the BarwiseSeligman theory o...
Abstract. Coordination graphs offer a tractable framework for cooperative multiagent decision making by decomposing the global payoff function into a sum of local terms. Each age...