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
In order to address challenges and opportunities of engineering information systems for network-centric warfare, we have developed a prototype for trustworthy and sustainable oper...
In this paper we present the Coupled Active Contours (CAC) model, which is applied to segmentation of the endocardium in ultrasonic images assuming Rayleigh distributed intensitie...
Mattias Hansson, Niels Chr. Overgaard, Anders Heyd...
— Recent brain imaging studies on primates revealed that a network of brain areas is activated both during observation and during execution of movements. The present work aims at...
Michail Maniadakis, Manolis Hourdakis, Panos E. Tr...
This paper introduces a peer-to-peer agent framework for supporting autonomic applications in decentralized distributed environments. The framework provides agents to discover, co...