Computer programming of complex systems is a time consuming effort. Results are often brittle and inflexible. Evolving, self-learning flexible multi-agent systems remain a distant ...
Reinforcement learning problems are commonly tackled with temporal difference methods, which use dynamic programming and statistical sampling to estimate the long-term value of ta...
Classical distributed database systems monolithically offer distribution transparency and higher performance. This is made possible by making data available and closer to the appl...
Most congestion control algorithms try to emulate processor sharing (PS) by giving each competing flow an equal share of a bottleneck link. This approach leads to fairness, and pr...
Abstract. Many embedded systems use single-chip microcontrollers which have no on-chip RAM. In such a system, the processor registers must hold all live data values. Nanocontroller...
Shashi Deepa Arcot, Henry G. Dietz, Sarojini Priya...