Reinforcement learning is a popular and successful framework for many agent-related problems because only limited environmental feedback is necessary for learning. While many algo...
The TAC Supply Chain Management (TAC/SCM) game presents a challenging dynamic environment for autonomous decision-making in a salient application domain. Strategic interactions co...
Patrick R. Jordan, Christopher Kiekintveld, Michae...
In this paper, we study the maintenance of role-based access control (RBAC) models in database environments using transitive closure relations. In particular, the algorithms that ...
Message passing using libraries implementing the Message Passing Interface (MPI) standard is the dominant communication mechanism in high performance computing (HPC) applications. ...
Robert Palmer, Michael Delisi, Ganesh Gopalakrishn...
Recently, advances have been made in continuous, normal– distribution–based Estimation–of–Distribution Algorithms (EDAs) by scaling the variance up from the maximum–like...