— 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...
Abstract— The need for efficient monitoring of spatiotemporal dynamics in large environmental surveillance applications motivates the use of robotic sensors to achieve sufficie...
Amarjeet Singh 0003, Fabio Ramos, Hugh D. Whyte, W...
Abstract. As the dynamicity of today's business environments keeps increasing, there is a need to continuously adapt business processes in order to respond to the changes in t...
Gabriel Hermosillo, Lionel Seinturier, Laurence Du...
Flash memory has become a virtually indispensable component for mobile devices in today’s information society. However, conventional testing methods often fail to detect hidden b...
Insufficient training data is one of the major problems in neural network learning, because it leads to poor learning performance. In order to enhance an intelligent learning proc...