Reinforcement learning can provide a robust and natural means for agents to learn how to coordinate their action choices in multiagent systems. We examine some of the factors that...
We present a multi-agent coordination technique to maintain throughput of a large-scale agent network system in the face of failures of agents. Failures do not just deteriorate th...
Abstract. In this paper we show how hybrid control and modeling techniques can be put to work for solving a problem of industrial relevance in Surface Mount Technology (SMT) manufa...
Leandro G. Barajas, Ashish Kansal, Abhinav Saxena,...
A major trend in a modern system-on-chip design is a growing system complexity, which results in a sharp increase of communication traffic on the on-chip communication bus architec...
This paper suggests a method called Trust-but-Verify that may turn DHT-based peer-to-peer systems into systems that are provably robust against even massive adversarial attacks.