In this paper, we investigate Reinforcement learning (RL) in multi-agent systems (MAS) from an evolutionary dynamical perspective. Typical for a MAS is that the environment is not ...
Karl Tuyls, Pieter Jan't Hoen, Bram Vanschoenwinke...
There is increasing interest within the research community in the design and use of recursive probability models. There remains concern about computational complexity costs and th...
This paper presents Jade, a language which allows a programmer to easily express dynamic coarse-grain parallelism. Starting with a sequential program, a programmer augments those ...
Proposed and developed is a framework and an extensible library of simulation modeling components for strategic sourcing and transportation. The components include items, supplier...
Dynamic resource management is a crucial part of the infrastructure for emerging distributed real-time embedded systems, responsible for keeping mission-critical applications opera...
Paul Rubel, Joseph P. Loyall, Richard E. Schantz, ...