This paper targets the efficient construction of a safety shield for decision making in
scenarios that incorporate uncertainty. Markov decision processes (MDPs) are prominent …

Reinforcement learning is a promising approach for learning control policies for robot tasks.
However, specifying complex tasks (eg, with multiple objectives and safety constraints) can …

This chapter presents that part of the theory of the μ μ-calculus that is relevant to the model-
checking problem as broadly understood. The μ μ-calculus is one of the most important …

The synthesis of reactive systems from linear temporal logic (LTL) specifications is an
important aspect in the design of reliable software and hardware. We present our adaption …

Urban air mobility (UAM) refers to air transportation services within an urban area, often in
an on-demand fashion. We study air traffic management (ATM) for vehicles in a UAM fleet …

Two-player graph games have found numerous applications, most notably in the synthesis
of reactive systems from temporal specifications, but also in verification. The relevance of …

A controller is a device that interacts with a plant. At each time point, it reads the plant's state
and issues commands with the goal that the plant operates optimally. Constructing optimal …

Temporal logic has been used by philosophers to reason about the way the world changes
over time. Its modern use in specification and verification of systems describes the evolution …

Reactive synthesis builds a system from a specification given as a temporal logic formula.
Traditionally, reactive synthesis is defined for systems with Boolean input and output …

Deception plays a crucial role in strategic interactions with incomplete information. Motivated
by security applications, we study a class of two-player turn-based deterministic games with …