For half a century since computers came into existence, the goal of finding elegant and efficient algorithms to solve "simple" (welldefined and well-structured) problems ...
In this paper, we propose new dominance relations that can speed up significantly the solution process of nonlinear constrained dynamic optimization problems in discrete time and...
— Reinforcement learning (RL) is one of the most general approaches to learning control. Its applicability to complex motor systems, however, has been largely impossible so far d...
A crucial objective in battery operated embedded systems is to work under the minimal power consumption that provides a desired level of performance. Dynamic Voltage Scaling (DVS)...
Luca Santinelli, Mauro Marinoni, Francesco Prosper...
Many real-life Constraint Satisfaction Problems (CSPs) involve some constraints similar to the alldifferent constraints. These constraints are called constraints of difference. Th...