We consider bidding games, a class of two-player zero-sum graph
games. T...
Markov decision processes can be viewed as transformers of probability
d...
We study the problem of training and certifying adversarially robust
qua...
We study the problem of learning controllers for discrete-time non-linea...
We consider the problem of learning control policies in stochastic syste...
In this work, we address the problem of learning provably stable neural
...
We present a novel approach to differential cost analysis that, given a
...
We consider the problem of formally verifying almost-sure (a.s.) asympto...
Bayesian neural networks (BNNs) place distributions over the weights of ...
We consider the almost-sure (a.s.) termination problem for probabilistic...
We present a new approach to proving non-termination of non-deterministi...
Formal verification of neural networks is an active topic of research, a...
The extension of classical imperative programs with real-valued random
v...
A graph game is a two-player zero-sum game in which the players move a t...
In two-player games on graphs, the players move a token through a graph ...
A standard objective in partially-observable Markov decision processes
(...