This paper is about Reinforcement Learning (RL) applied to online parameter tuning in Stochastic Local Search (SLS) methods. In particular a novel application of RL is considered i...
Real-world data is never perfect and can often suffer from corruptions (noise) that may impact interpretations of the data, models created from the data and decisions made based on...
Dealing with methods of human-robot interaction and using a real mobile robot, stable methods for people detection and tracking are fundamental features of such a system and requir...
Erik Schaffernicht, Christian Martin, Andrea Schei...
Abstract. Applying multi-agent systems in real world scenarios requires several essential research questions to be answered. Agents have to perceive their environment in order to t...
Frans C. A. Groen, Matthijs T. J. Spaan, Jelle R. ...
—Feature-based intelligent design and manufacturing systems in the Internet environment are an evolution of traditional geometric and solid modeling systems. This paper presents ...
Jin Hou, Dengsheng Zhang, Zeng Chen, Xuerong Xu, T...