In this paper we address the problem of agents engaged in a distributed costly two-sided search for pairwise partnerships in Multi-Agent Systems (MAS). While traditional two-sided...
The existing reinforcement learning methods have been seriously suffering from the curse of dimension problem especially when they are applied to multiagent dynamic environments. ...
Particle-based simulation methods are used to model a wide range of complex phenomena and to solve time-dependent problems of various scales. Effective visualizations of the resul...
Christiaan P. Gribble, Carson Brownlee, Steven G. ...
Software-defined radios (SDRs) are now recognized as a key building block for future wireless communications. We have spent the past year enhancing existing open software to creat...
Gregory Troxel, Eric Blossom, Steve Boswell, Arman...
We present a Standard ML library for writing programs that automatically adjust to changes to their data. The library combines modifiable references and memoization to achieve eff...
Umut A. Acar, Guy E. Blelloch, Matthias Blume, Rob...