The existing reinforcement learning approaches have been suffering from the policy alternation of others in multiagent dynamic environments such as RoboCup competitions since othe...
Abstract. We propose a prediction-based best-effort real-time service to support distributed, interactive applications in shared, unreserved computing environments. These applicati...
Peter A. Dinda, Loukas F. Kallivokas, Bruce Loweka...
This paper describes a novel knowledge-based approach for helping workflow process designers and participants better manage the exceptions (deviations from an ideal collaborative ...
Most applications of evolutionary algorithms (EAs) deal with static optimization problems. However, in recent years, there has been a growing interest in timevarying (dynamic) prob...
Rasmus K. Ursem, Thiemo Krink, Mikkel T. Jensen, Z...
In this paper we consider how to efficiently identify tags on the moving conveyor. Considering conditions like the path loss and multi-path effect in realistic settings, we first p...
Lei Xie, Bo Sheng, Chiu Chiang Tan, Hao Han, Qun L...