Decentralized reinforcement learning (DRL) has been applied to a number of distributed applications. However, one of the main challenges faced by DRL is its convergence. Previous ...
Chongjie Zhang, Victor R. Lesser, Sherief Abdallah
The primary target of this work is human-robot collaboration, especially for service robots in complicated application scenarios. Three assumptions and four requirements are ident...
Xiaoping Chen, Jianmin Ji, Jiehui Jiang, Guoqiang ...
The process of creating e-learning contents using reusable learning objects (LOs) can be broken down in two sub-processes: LOs finding and LO sequencing. Sequencing is usually per...
—In distributed real-time embedded systems (DRE), it is common to model an application as a set of task chains. Each chain is activated cyclically and must complete before an end...
Reuse is an important means of reducing costs and effort during the development of complex software systems. A major challenge is to find suitable components in a large library wit...
Matthias Schmidt, Jan Polowinski, Jendrik Johannes...