— In this paper, the dynamic model of a robot with antagonistic actuated joints is presented, and the problem of full linearization via static state feedback is analyzed. The use...
Gianluca Palli, Claudio Melchiorri, Thomas Wimb&ou...
Abstract. Reinforcement learning (RL) is a widely used learning paradigm for adaptive agents. There exist several convergent and consistent RL algorithms which have been intensivel...
Lucian Busoniu, Damien Ernst, Bart De Schutter, Ro...
The ambitious goal of transfer learning is to accelerate learning on a target task after training on a different, but related, source task. While many past transfer methods have f...
We present a multi-agent system designed to detect malicious traffic in high-speed networks. In order to match the performance requirements related to the traffic volume, the net...
Conventional human-computer interfaces for the exploration of volume datasets employ the mouse as an input device. Specifying an oblique orientation for a crosssectional plane thr...
Rahul Sarkar, Chrishnika de Almeida, Noureen Syed,...