Learning agents, whether natural or artificial, must update their internal parameters in order to improve their behavior over time. In reinforcement learning, this plasticity is ...
Acquiring, representing and modeling human skills is one of the key research areas in teleoperation, programming-by-demonstration and human-machine collaborative settings. The pro...
Given a network G = (V, E), we say that a subset of vertices S ⊆ V has radius r if it is spanned by a tree of depth at most r. We are interested in determining whether G has a cu...
This tutorial deals with runtime enforcement which is an extension of runtime verification aiming to circumvent misbehaviors of systems. After an historical overview of previous a...
Proving termination of sequential programs is an important problem, both for establishing the total correctness of systems and as a component of proving more general termination an...
William R. Harris, Akash Lal, Aditya V. Nori, Srir...