The Architectural Vulnerability Factor (AVF) of a hardware structure is the probability that a fault in the structure will affect the output of a program. AVF captures both microa...
We consider the problem of multi-task reinforcement learning where the learner is provided with a set of tasks, for which only a small number of samples can be generated for any g...
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
This paper introduces basic principles for extending the classical systolic synthesis methodology to multi-dimensional time. Multi-dimensional scheduling enables complex algorithm...
This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...