Abstract—Multicore systems have not only become ubiquitous in the desktop and server worlds, but are also becoming the standard in the embedded space. Multicore offers programabi...
Yoonseo Choi, Yuan Lin, Nathan Chong, Scott A. Mah...
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...
We observed a general problem of sequential programs, which often results in design and programming errors in industrial software engineering projects, and propose a solution appr...
The vast size of real world stochastic programming instances requires sampling to make them practically solvable. In this paper we extend the understanding of how sampling affects ...
Organic programming (OP) is our proposed and already emerging programming model which overcomes some of the limitations of current practice in software development in general and ...