9 citations · 13 across the 6 of their papers we have counts for
3 papers · 1 filter
Confidence Sequences for Online Statistical Model Checking of Markov Decision Processes
Konstantin Kueffner, Tobias Meggendorfer, Maximilian Weininger +1
Markov decision processes (MDPs) are a classic model of decision making under uncertainty, exhibiting both non-deterministic choice as well as probabilistic uncertainty. Traditiona…
Solving Robust Markov Decision Processes: Generic, Reliable, Efficient
Tobias Meggendorfer, Maximilian Weininger, Patrick Wienhöft
Markov decision processes (MDP) are a well-established model for sequential decision-making in the presence of probabilities. In robust MDP (RMDP), every action is associated with…
What Are the Odds? Improving the foundations of Statistical Model Checking
Tobias Meggendorfer, Maximilian Weininger, Patrick Wienhöft
Markov decision processes (MDPs) are a fundamental model for decision making under uncertainty. They exhibit non-deterministic choice as well as probabilistic uncertainty. Traditio…