Hybrid transition systems in their full generality describe continuous behaviour by a set of equations in each mode an algebraic or di erential equation for each state variable in ...
Abstract. We introduce a novel extension of propositional modal logic that is interpreted over Kripke structures in which a value is associated with every possible world. These val...
Extended Finite State Machine (EFSM)-based passive fault detection involves modeling the system under test (SUT) as an EFSM M, monitoring the input/output behaviors of the SUT, and...
We show how to apply the efficient Bayesian changepoint detection techniques of Fearnhead in the multivariate setting. We model the joint density of vector-valued observations usi...
Hierarchical reinforcement learning (RL) is a general framework which studies how to exploit the structure of actions and tasks to accelerate policy learning in large domains. Pri...