We introduce a new probabilistic temporal logic for the verification of
...
We consider the problem of predictive monitoring (PM), i.e., predicting ...
Resiliency is the ability to quickly recover from a violation and avoid
...
We study how to exploit the notion of strategy templates to learn strate...
We consider the problem of predictive monitoring (PM), i.e., predicting ...
We consider the problem of computing reach-avoid probabilities for itera...
We build on abduction-based explanations for ma-chine learning and devel...
We present a novel bilateral negotiation model that allows a self-intere...
Even though model predictive control (MPC) is currently the main algorit...
We present a novel negotiation model that allows an agent to learn how t...
We present the Neural Simplex Architecture (NSA), a new approach to runt...
We introduce a probabilistic robustness measure for Bayesian Neural Netw...
We present a new method for the automated synthesis of digital controlle...
An Implantable Cardioverter Defibrillator (ICD) is a medical device used...
We introduce the State Classification Problem (SCP) for hybrid systems, ...
The popularity of rule-based flocking models, such as Reynolds' classic
...