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...
Multithreaded programs are notoriously prone to race conditions, a problem exacerbated by the widespread adoption of multi-core processors with complex memory models and cache coh...
Online multi-participant virtual-world systems have attracted significant interest from the Internet community but are hindered by their inability to efficiently support interacti...
This paper presents a novel way for assessing the affective qualities of natural language and a scenario for its use. Previous approaches to textual affect sensing have employed k...
The verification of an execution against memory consistency is known to be NP-hard. This paper proposes a novel fast memory consistency verification method by identifying a new na...
Yunji Chen, Yi Lv, Weiwu Hu, Tianshi Chen, Haihua ...