Several multiagent reinforcement learning (MARL) algorithms have been proposed to optimize agents' decisions. Due to the complexity of the problem, the majority of the previo...
Performing distributed consensus in a network has been an important research problem for several years, and is directly applicable to sensor networks, autonomous vehicle formation...
Daniel Thai, Elizabeth Bodine-Baron, Babak Hassibi
Low-end embedded architectures, such as sensor nodes, have become popular in diverse fields, many of which impose real-time constraints. Currently, the Atmel Atmega processor fam...
Sibin Mohan, Frank Mueller, David B. Whalley, Chri...
A problem with running distributed shared memory applications in heterogeneous environments is that making optimal use of available resources often requires significant changes t...
Distributed simulation is desired in many industries to support analysis and decision making for complex and integrated problems. Interoperating commercial simulation packages usi...