The majority of work carried out in the formal methods community throughout the last three decades has (for good reasons) been devoted to special languages designed to make it eas...
Willem Visser, Klaus Havelund, Guillaume P. Brat, ...
We present a novel Bayesian approach to the problem of value function estimation in continuous state spaces. We define a probabilistic generative model for the value function by i...
Test generation and execution are often hampered by the large state spaces of the systems involved. In automata (or transition system) based test algorithms, taking advantage of s...
This paper presents a direct reinforcement learning algorithm, called Finite-Element Reinforcement Learning, in the continuous case, i.e. continuous state-space and time. The eval...
This paper shows how classic inductive assertions can be used in conjunction with an operational semantics to prove partial correctness properties of programs. The method imposes o...