We consider support vector machines for binary classification. As opposed to most approaches we use the number of support vectors (the "L0 norm") as a regularizing term ...
—This paper introduces an algorithm for direct search of control policies in continuous-state discrete-action Markov decision processes. The algorithm looks for the best closed-l...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
— This paper proposes a population based adaptive tuning for dynamic position control of robot manipulators. The dynamic behavior of a robot manipulator is highly nonlinear, and ...
The Cross Entropy algorithm is a new search method for combinatorial problem. However, it needs considerable computational time to achieve good solution quality. To make the Cross...
The Cross-Entropy (CE) method is a modern and effective optimization method well suited to parallel implementations. There is a vast array of problems today, some of which are hig...
Gareth E. Evans, Jonathan M. Keith, Dirk P. Kroese