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...
Experimental performance studies on computer systems, including Grids, require deep understandings on their workload characteristics. The need arises from two important and closel...
Abstract. Development environments typically present the software engineer with a structural perspective of an object-oriented system in terms of packages, classes and methods. Fro...
Traditional Computer-Aided Teaching and Learning (CAT/CAL) environments in multimedia-based teleeducation do not empower knowledge consumers (trainees, students etc.) to practice ...
Abstract-- The authors have extended deterministic portHamiltonian systems into stochastic dynamical systems which are described by stochastic differential equations written in the...