Temporal difference methods are theoretically grounded and empirically effective methods for addressing reinforcement learning problems. In most real-world reinforcement learning ...
Time is an important data dimension with distinct characteristics that is common across many application domains. This demands specialized methods in order to support proper analy...
Wolfgang Aigner, Alessio Bertone, Silvia Miksch, C...
In fuzzy clustering, the fuzzy c-means (FCM) clustering algorithm is the best known and used method. Since the FCM memberships do not always explain the degrees of belonging for t...
—This paper presents the Axel robotic rover which has been designed to provide robust and flexible access to extreme extra-planetary terrains. Axel is a lightweight 2wheeled vehi...
Pablo Abad-Manterola, Joel W. Burdick, Issa A. D. ...