— 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...
Motion information is essential in many computer vision and video analysis tasks. Since MPEG is still one of the most prevalent formats for representing, transferring and storing ...
In this paper, we borrow the concept of reference direction approach from the multi-criterion decision-making literature and combine it with an EMO procedure to develop an algorit...
In this paper we describe AntHocNet, an algorithm for routing in mobile ad hoc networks based on ideas from the Nature-inspired Ant Colony Optimization framework. The algorithm co...
Frederick Ducatelle, Gianni Di Caro, Luca Maria Ga...
Abstract. Monads are a well-established tool for modelling various computational effects. They form the semantic basis of Moggi’s computational metalanguage, the metalanguage of ...