Most conventional Policy Gradient Reinforcement Learning (PGRL) algorithms neglect (or do not explicitly make use of) a term in the average reward gradient with respect to the pol...
In the near future, container ports will no longer be able to expand into the surrounding land and will thus be unable to meet the storage requirements due to the boom in world tr...
Abstract. Algorithmic skeletons are a well-known approach for implementing parallel and distributed applications. Declarative versions typically use higher-order functions in funct...
We propose a characterization of distributed denial of service (DDOS) defenses where reaction points are network-based and attack responses are active. The purpose is to provide a ...
Li-Chiou Chen, Thomas A. Longstaff, Kathleen M. Ca...
In this paper, we consider the problem of supporting fault tolerance for adaptive and time-critical applications in heterogeneous and unreliable grid computing environments. Our g...