State space techniques have proven to be useful for measuring and improving the coverage of test vectors that are used during functional validation via simulation. By comparing th...
Abstract. We present a new reinforcement learning approach for deterministic continuous control problems in environments with unknown, arbitrary reward functions. The difficulty of...
Many problems require minimally perturbing an initial state in order to repair some violated constraints. We consider two search spaces for exactly solving this minimal perturbatio...
Parallel and concurrent garbage collectors are increasingly employed by managed runtime environments (MREs) to maintain scalability, as multi-core architectures and multi-threaded...
The adventof multipoint(multicast-based) applications and the growth and complexity of the Internet has complicated network protocol design and evaluation. In this paper, we prese...
Ahmed Helmy, Sandeep K. S. Gupta, Deborah Estrin, ...