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...
— This paper illustrates a novel decision making algorithm to deliver telecommunication services that match in the best possible way end-user’s requirements to current environm...
Requirement Specifications are very difficult to define. Due to lack of information and differences in interpretation, software engineers are faced with the necessity to redesign a...
A novel combination of ideas from cognitive linguistics and spatial occupancy models in robotics has led to the WIP (Words Into Pictures) system. WIP automatically generates depic...
We propose new types of linguistic summaries of time-series data that extend those proposed in our previous papers. The proposed summaries of time series refer to the summaries of...