The objective of this collaborative textbook is to present the state of ...
We consider the problem of synthesizing resilient and stochastically sta...
We consider partially observable Markov decision processes (POMDPs) mode...
We consider the problem of efficient patrolling strategy adaptation in a...
We consider the almost-sure (a.s.) termination problem for probabilistic...
We consider qualitative strategy synthesis for the formalism called
cons...
We present a new approach to proving non-termination of non-deterministi...
The extension of classical imperative programs with real-valued random
v...
Consumption Markov Decision Processes (CMDPs) are probabilistic
decision...
Markov decision processes (MDPs) are the defacto frame-work for sequenti...
The adoption of permissioned blockchain networks in enterprise settings ...
A probabilistic vector addition system with states (pVASS) is a finite s...
Academic publishing is continuously evolving with the gradual adoption o...
We are concerned with reliably harvesting data collected from service-ba...
Value iteration is a fundamental algorithm for solving Markov Decision
P...
We study the complexity of evaluating powered functions implemented by
s...
The rise of crypto-currencies has spawned great interest in their underl...
Vector Addition Systems with States (VASS) provide a well-known and
fund...
Partially-observable Markov decision processes (POMDPs) with discounted-...
Probabilistic programs extend classical imperative programs with real-va...
Vector Addition Systems with States (VASS) consists of a finite state sp...
A standard objective in partially-observable Markov decision processes
(...
We consider partially observable Markov decision processes (POMDPs) with...