Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in largescale systems. In this work, we develop an organization-b...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
The routing algorithms for multimedia communication should use for routing more than one QoS parameter. This is because new services such as video on demand and remote meeting sys...
Akio Koyama, Leonard Barolli, Kazunori Matsumoto, ...
In many Multi-Agent Systems (MAS), agents (even if selfinterested) need to cooperate in order to maximize their own utilities. Most of the multi-agent learning algorithms focus on...
Jose Enrique Munoz de Cote, Alessandro Lazaric, Ma...
In hot-potato (deflection) routing, nodes in the network have no buffers for packets in transit, so that some conflicting packets must be deflected away from their destination...
Costas Busch, Malik Magdon-Ismail, Marios Mavronic...
The key features of the principal interior routing protocols for large systems are considered and compared, and the major weaknesses of the open standards noted. A proposal is giv...