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 present several new algorithms for multiagent reinforcement learning. A common feature of these algorithms is a parameterized, structured representation of a policy or value fu...
Carlos Guestrin, Michail G. Lagoudakis, Ronald Par...
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...
This paper approaches the issue of coordination of highly autonomous Automated Guided Vehicles (AGVs) working on an automated factory. These vehicles are used for goods delivery t...