Multi-Agent Reinforcement Learning (MARL) algorithms suffer from slow convergence and even divergence, especially in large-scale systems. In this work, we develop a supervision fr...
Chongjie Zhang, Sherief Abdallah, Victor R. Lesser
We present a performance analysis of an agent-based middleware system we have developed based on "reAgents," remotely executing agents that enhance the performance of cl...
Soft errors are a growing concern for processor reliability. Recent work has motivated architecture-level studies of soft errors since the architecture can mask many raw errors an...
Xiaodong Li, Sarita V. Adve, Pradip Bose, Jude A. ...
Software vulnerabilities are the root cause of a wide range of attacks. Existing vulnerability scanning tools are able to produce a set of suspects. However, they often suffer fro...
Ubiquitous computing environment requirement needs information sharing of sensors based on sensor network technology, situation-aware and determination functions and other related...