Much work has been dedicated to the exploration of Multi-Agent Reinforcement Learning (MARL) paradigms implementing a centralized learning with decentralized execution (CLDE) approach to achieve human-like collab-oration in cooperative tasks. Here, we discuss variations of centralized training and describe a recent survey of algorithmic approaches. The goal is to explore how different implementations of information sharing mechanism in centralized learning may give rise to distinct group coordinated behaviors in multi-agent systems performing cooperative tasks.
The growth in numbers and capacity of mobile devices such as mobile phones coupled with widespread availability of inexpensive range of services presents an unprecedented opportunity for mobile health care applications. Blood donation and transfusion service is one of the most complex management systems in health sector. Quality management of a Blood Transfusion Services (BTS) starts with safe blood donor recruitment (BDR) and donor care. In the South-East Asia Region (SEAR) almost all countries except Thailand depend heavily on replacement of blood from relatives and friends. In this paper, we present location-aware mobile phone based blood donor recruitment, information retrieval and management system that aims at ensuring the quality of the blood and increasing the efficiency of operation management. Here an attempt has been made to leverage the ubiquity and power of the standard mobile phone as a lifesaving mobile health care application, delivering more user convenience.
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