Many applications in multiagent learning are essentially convex optimization problems in which agents have only limited communication and partial information about the function be...
Renato L. G. Cavalcante, Alex Rogers, Nicholas R. ...
Computational science is placing new demands on optimization algorithms as the size of data sets and the computational complexity of scientific models continue to increase. As thes...
Travis J. Desell, David P. Anderson, Malik Magdon-...
Voltage islanding technique in Network-on-Chip (NoC) can significantly reduce the computational energy consumption by scaling down the voltage levels of the processing elements (P...
We study distributed boundary coverage of known environments using a team of miniature robots. Distributed boundary coverage is an instance of the multi-robot task-allocation prob...
Patrick Amstutz, Nikolaus Correll, Alcherio Martin...
Adaptive orthogonal frequency division multiple access (OFDMA) has recently been recognized as a promising technique for providing high spectral efficiency in future broadband wire...
William Weiliang Li, Ying Jun Zhang, Anthony Man-C...